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Published in: International Journal of Computer Assisted Radiology and Surgery 8/2016

01-08-2016 | Review Article

On computerized methods for spine analysis in MRI: a systematic review

Authors: Marko Rak, Klaus D. Tönnies

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 8/2016

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Abstract

Purpose

In the last decades, the increasing medical interest in magnetic resonance imaging (MRI) of the spine gave rise to a growing number of publications on computerized methods for spine analysis, covering goals such as localization and segmentation of vertebrae and intervertebral discs as well as the extraction and segmentation of the spinal canal and cord. We provide a critical systematic review to work in the field, putting focus on approaches that can be applied to different imaging sequences and settings.

Methods

Work is analysed on two levels. First, methods are reviewed in detail so that the reader understands justifications and constraints of particular work. Second, work is classified according to relevant attributes and tabulated to give an impression on recent trends. We discuss the general methodical and evaluational aspects of the work as well as challenges specific to MRI such as the lack of intensity standardization and partial volume effects.

Results

Methods can be condensed to a small number of optimization frameworks, e.g., graphical models, cost-minimal paths and deformable models. Works sharing the same framework mainly differentiate by the types of information, i.e., pose, geometry and appearance, that are used and by the implementation thereof. MRI-specific challenges are rarely addressed explicitly, calling into question the applicability of most methods to changing imaging sequences or settings. Most often, little attention is paid to evaluation, meaning that results lack comparability and reproducibility although publicly available data sets exist.

Conclusion

The diversity of MRI sequences and settings still poses challenges to computerized spine analysis. Further research is necessary to implement methods that are actually applicable in practice, e.g., in clinical routine or for study purposes. Certainly, manual guidance will be necessary at some point, for instance to deal with changing subject positions. Therefore, future work should put attention to the appropriate integration of manual interaction.
Literature
1.
go back to reference Abufadel A, Slabaugh G, Unal G, Zhang L, Odry B (2006) Interacting active rectangles for estimation of intervertebral disk orientation. In: IEEE proceedings of the 18th international conference on pattern recognition, pp 1013–1016 Abufadel A, Slabaugh G, Unal G, Zhang L, Odry B (2006) Interacting active rectangles for estimation of intervertebral disk orientation. In: IEEE proceedings of the 18th international conference on pattern recognition, pp 1013–1016
2.
go back to reference Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2009) Abnormality detection in lumbar discs from clinical MR images with a probabilistic model. In: Proceedings of the 23rd international congress and exhibition on computer assisted radiology and surgery. Springer, p 3 Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2009) Abnormality detection in lumbar discs from clinical MR images with a probabilistic model. In: Proceedings of the 23rd international congress and exhibition on computer assisted radiology and surgery. Springer, p 3
3.
go back to reference Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2009) Desiccation diagnosis in lumbar discs from clinical MRI with a probabilistic model. In: Proceedings of the 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, pp 546–549 Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2009) Desiccation diagnosis in lumbar discs from clinical MRI with a probabilistic model. In: Proceedings of the 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, pp 546–549
4.
go back to reference Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2010) Automatic diagnosis of lumbar disc herniation with shape and appearance features from MRI. In: Proceedings of SPIE medical imaging, SPIE, pp 76,241A.1–76,241A.9 Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2010) Automatic diagnosis of lumbar disc herniation with shape and appearance features from MRI. In: Proceedings of SPIE medical imaging, SPIE, pp 76,241A.1–76,241A.9
5.
go back to reference Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2010) Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI. Int J Comput Assist Radiol Surg 5:287–293CrossRefPubMed Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2010) Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI. Int J Comput Assist Radiol Surg 5:287–293CrossRefPubMed
6.
go back to reference Alomari RS, Corso JJ, Chaudhary V (2011) Labeling of lumbar discs using both pixel-and object-level features with a two-level probabilistic model. IEEE Trans Med Imaging 30:1–10CrossRefPubMed Alomari RS, Corso JJ, Chaudhary V (2011) Labeling of lumbar discs using both pixel-and object-level features with a two-level probabilistic model. IEEE Trans Med Imaging 30:1–10CrossRefPubMed
7.
go back to reference Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2011) Toward a clinical lumbar CAD: herniation diagnosis. Int J Comput Assist Radiol Surg 6:119–126CrossRefPubMed Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2011) Toward a clinical lumbar CAD: herniation diagnosis. Int J Comput Assist Radiol Surg 6:119–126CrossRefPubMed
8.
go back to reference Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2014) Lumbar spine disc herniation diagnosis with a joint shape model. In: Proceedings of the 2nd workshop on computational methods and clinical applications for spine imaging. Springer, pp 87–98 Alomari RS, Corso JJ, Chaudhary V, Dhillon G (2014) Lumbar spine disc herniation diagnosis with a joint shape model. In: Proceedings of the 2nd workshop on computational methods and clinical applications for spine imaging. Springer, pp 87–98
9.
go back to reference Ayed IB, Punithakumar K, Garvin GJ, Romano W, Li S (2011) Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation. In: Proceedings of the 21st international conference on information processing in medical imaging. Springer, pp 221–232 Ayed IB, Punithakumar K, Garvin GJ, Romano W, Li S (2011) Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation. In: Proceedings of the 21st international conference on information processing in medical imaging. Springer, pp 221–232
10.
go back to reference Ayed IB, Punithakumar K, Minhas R, Joshi R, Garvin GJ (2012) Vertebral body segmentation in MRI via convex relaxation and distribution matching. In: Proceedings of the 15th international conference on medical image computing and computer-assisted intervention. Springer, pp 520–527 Ayed IB, Punithakumar K, Minhas R, Joshi R, Garvin GJ (2012) Vertebral body segmentation in MRI via convex relaxation and distribution matching. In: Proceedings of the 15th international conference on medical image computing and computer-assisted intervention. Springer, pp 520–527
11.
go back to reference Bhole C, Kompalli S, Chaudhary V (2009) Context sensitive labeling of spinal structure in MR images. In: Proceedings of SPIE medical imaging, SPIE, pp 72,603P.1–72,603P.9 Bhole C, Kompalli S, Chaudhary V (2009) Context sensitive labeling of spinal structure in MR images. In: Proceedings of SPIE medical imaging, SPIE, pp 72,603P.1–72,603P.9
12.
go back to reference Carballido-Gamio J, Belongie SJ, Majumdar S (2002) Normalized cuts for spinal MRI segmentation. In: Proceedings of the 16th international congress and exhibition on computer assisted radiology and surgery. Springer, p 1054 Carballido-Gamio J, Belongie SJ, Majumdar S (2002) Normalized cuts for spinal MRI segmentation. In: Proceedings of the 16th international congress and exhibition on computer assisted radiology and surgery. Springer, p 1054
13.
go back to reference Carballido-Gamio J, Belongie SJ, Majumdar S (2004) Normalized cuts in 3-d for spinal MRI segmentation. IEEE Trans Med Imaging 23:36–44CrossRefPubMed Carballido-Gamio J, Belongie SJ, Majumdar S (2004) Normalized cuts in 3-d for spinal MRI segmentation. IEEE Trans Med Imaging 23:36–44CrossRefPubMed
14.
go back to reference Chen M, Carass A, Cuzzocreo J, Bazin PL, Reich RS, Prince JL (2011) Topology preserving automatic segmentation of the spinal cord in magnetic resonance images. In: Proceedings of the 8th IEEE international symposium on biomedical imaging: from nano to macro, pp 1737–1740 Chen M, Carass A, Cuzzocreo J, Bazin PL, Reich RS, Prince JL (2011) Topology preserving automatic segmentation of the spinal cord in magnetic resonance images. In: Proceedings of the 8th IEEE international symposium on biomedical imaging: from nano to macro, pp 1737–1740
15.
go back to reference Chen M, Carass A, Oh J, Nair G, Pham DL, Reich DS, Prince JL (2013) Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. Neuroimage 83:1051–1062CrossRefPubMed Chen M, Carass A, Oh J, Nair G, Pham DL, Reich DS, Prince JL (2013) Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. Neuroimage 83:1051–1062CrossRefPubMed
16.
go back to reference Chevrefils C, Chériet F, Grimard G, Aubin CE (2007) Watershed segmentation of intervertebral disk and spinal canal from MRI images. In: Proceedings of the 10th international conference on image analysis and recognition. Springer, pp 1017–1027 Chevrefils C, Chériet F, Grimard G, Aubin CE (2007) Watershed segmentation of intervertebral disk and spinal canal from MRI images. In: Proceedings of the 10th international conference on image analysis and recognition. Springer, pp 1017–1027
17.
go back to reference Chevrefils C, Chériet F, Aubin CE, Grimard G (2009) Texture analysis for automatic segmentation of intervertebral disks of scoliotic spines from MR images. IEEE Trans Inf Technol Biomed 13:608–620CrossRefPubMed Chevrefils C, Chériet F, Aubin CE, Grimard G (2009) Texture analysis for automatic segmentation of intervertebral disks of scoliotic spines from MR images. IEEE Trans Inf Technol Biomed 13:608–620CrossRefPubMed
18.
go back to reference Chevrefils C, Chériet F, Grimard G, Miron MC, Aubin CE (2012) Quantitative evaluation of an automatic segmentation method for 3d reconstruction of intervertebral scoliotic disks from MR images. BMC Med Imaging 12:26CrossRef Chevrefils C, Chériet F, Grimard G, Miron MC, Aubin CE (2012) Quantitative evaluation of an automatic segmentation method for 3d reconstruction of intervertebral scoliotic disks from MR images. BMC Med Imaging 12:26CrossRef
19.
go back to reference Chwialkowski MP, Shile PE, Pfeifer D, Parkey RW, Peshock RM (1991) Automated localization and identification of lower spinal anatomy in magnetic resonance images. Comput Biomed Res 24:99–117CrossRefPubMed Chwialkowski MP, Shile PE, Pfeifer D, Parkey RW, Peshock RM (1991) Automated localization and identification of lower spinal anatomy in magnetic resonance images. Comput Biomed Res 24:99–117CrossRefPubMed
20.
go back to reference Corso JJ, Alomari RS, Chaudhary V (2008) Lumbar disc localization and labeling with a probabilistic model on both pixel and object features. In: Proceedings of the 11th international conference on medical image computing and computer-assisted intervention. Springer, pp 202–210 Corso JJ, Alomari RS, Chaudhary V (2008) Lumbar disc localization and labeling with a probabilistic model on both pixel and object features. In: Proceedings of the 11th international conference on medical image computing and computer-assisted intervention. Springer, pp 202–210
21.
go back to reference Coulon O, Hickman SJ, Parker GJ, Barker GJ, Miller DH, Arridge SR (2002) Quantification of spinal cord atrophy from magnetic resonance images via a B-spline active surface model. Magn Reson Med 47:1176–1185CrossRefPubMed Coulon O, Hickman SJ, Parker GJ, Barker GJ, Miller DH, Arridge SR (2002) Quantification of spinal cord atrophy from magnetic resonance images via a B-spline active surface model. Magn Reson Med 47:1176–1185CrossRefPubMed
22.
go back to reference Daenzer S, Freitag S, von Sachsen S, Steinke H, Groll M, Meixensberger J, Leimert M (2014) VolHOG: a volumetric object recognition approach based on bivariate histograms of oriented gradients for vertebra detection in cervical spine MRI. Med Phys 41:082,305.1–082,305.10CrossRef Daenzer S, Freitag S, von Sachsen S, Steinke H, Groll M, Meixensberger J, Leimert M (2014) VolHOG: a volumetric object recognition approach based on bivariate histograms of oriented gradients for vertebra detection in cervical spine MRI. Med Phys 41:082,305.1–082,305.10CrossRef
23.
go back to reference Davatzikos C, Liu D, Shen D, Herskovits EH (2002) Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms. Radiology 224:919–926CrossRefPubMed Davatzikos C, Liu D, Shen D, Herskovits EH (2002) Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms. Radiology 224:919–926CrossRefPubMed
24.
go back to reference De Leener B, Kadoury S, Cohen-Adad J (2014) Robust, accurate and fast automatic segmentation of the spinal cord. Neuroimage 98:528–536CrossRefPubMed De Leener B, Kadoury S, Cohen-Adad J (2014) Robust, accurate and fast automatic segmentation of the spinal cord. Neuroimage 98:528–536CrossRefPubMed
25.
go back to reference Dong X, Lu H, Sakurai Y, Yamagata H, Zheng G, Reyes M (2010) Automated intervertebral disc detection from low resolution, sparse MRI images for the planning of scan geometries. In: Proceedings of the 2nd international workshop on machine learning in medical imaging. Springer, pp 10–17 Dong X, Lu H, Sakurai Y, Yamagata H, Zheng G, Reyes M (2010) Automated intervertebral disc detection from low resolution, sparse MRI images for the planning of scan geometries. In: Proceedings of the 2nd international workshop on machine learning in medical imaging. Springer, pp 10–17
26.
go back to reference Egger J, Kapur T, Dukatz T, Kolodziej M, Zukić D, Freisleben B, Nimsky C (2012) Square-cut: a segmentation algorithm on the basis of a rectangle shape. PloS one 7:e31,064.1–e31,064.13 Egger J, Kapur T, Dukatz T, Kolodziej M, Zukić D, Freisleben B, Nimsky C (2012) Square-cut: a segmentation algorithm on the basis of a rectangle shape. PloS one 7:e31,064.1–e31,064.13
27.
go back to reference Fensky S, Held F, Rak M, Tönnies KD (2015) Spinal canal centerline extraction in MRI. In: Proceedings of the 19th medical image understanding and analysis conference, BMVA, pp 144–149 Fensky S, Held F, Rak M, Tönnies KD (2015) Spinal canal centerline extraction in MRI. In: Proceedings of the 19th medical image understanding and analysis conference, BMVA, pp 144–149
28.
go back to reference Ghosh S, Alomari RS, Chaudhary V, Dhillon G (2011) Composite features for automatic diagnosis of intervertebral disc herniation from lumbar MRI. In: Proceedings of the 33th international conference of the IEEE engineering in medicine and biology society, pp 5068–5071 Ghosh S, Alomari RS, Chaudhary V, Dhillon G (2011) Composite features for automatic diagnosis of intervertebral disc herniation from lumbar MRI. In: Proceedings of the 33th international conference of the IEEE engineering in medicine and biology society, pp 5068–5071
29.
go back to reference Ghosh S, Alomari RS, Chaudhary V, Dhillon G (2011) Computer-aided diagnosis for lumbar MRI using heterogeneous classifiers. In: Proceedings of the 8th IEEE international symposium on biomedical imaging: from nano to macro, pp 1179–1182 Ghosh S, Alomari RS, Chaudhary V, Dhillon G (2011) Computer-aided diagnosis for lumbar MRI using heterogeneous classifiers. In: Proceedings of the 8th IEEE international symposium on biomedical imaging: from nano to macro, pp 1179–1182
30.
go back to reference Ghosh S, Malgireddy MR, Chaudhary V, Dhillon G (2012) A new approach to automatic disc localization in clinical lumbar MRI: combining machine learning with heuristics. In: Proceedings of the 9th IEEE international symposium on biomedical imaging: from nano to macro, pp 114–117 Ghosh S, Malgireddy MR, Chaudhary V, Dhillon G (2012) A new approach to automatic disc localization in clinical lumbar MRI: combining machine learning with heuristics. In: Proceedings of the 9th IEEE international symposium on biomedical imaging: from nano to macro, pp 114–117
31.
go back to reference Ghosh S, Malgireddy MR, Chaudhary V, Dhillon G (2014) A supervised approach towards segmentation of clinical MRI for automatic lumbar diagnosis. In: Proceedings of the 2nd workshop on computational methods and clinical applications for spine imaging. Springer, pp 185–195 Ghosh S, Malgireddy MR, Chaudhary V, Dhillon G (2014) A supervised approach towards segmentation of clinical MRI for automatic lumbar diagnosis. In: Proceedings of the 2nd workshop on computational methods and clinical applications for spine imaging. Springer, pp 185–195
32.
go back to reference Haq R, Besachio DA, Borgie RC, Audette MA (2014) Using shape-aware models for lumbar spine intervertebral disc segmentation. In: Proceedings of the 22nd international conference on pattern recognition, pp 3191–3196 Haq R, Besachio DA, Borgie RC, Audette MA (2014) Using shape-aware models for lumbar spine intervertebral disc segmentation. In: Proceedings of the 22nd international conference on pattern recognition, pp 3191–3196
33.
go back to reference Haq R, Aras R, Besachio DA, Borgie RC, Audette MA (2015) 3d lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models. Int J Comput Assist Radiol Surg 10:45–54CrossRefPubMed Haq R, Aras R, Besachio DA, Borgie RC, Audette MA (2015) 3d lumbar spine intervertebral disc segmentation and compression simulation from MRI using shape-aware models. Int J Comput Assist Radiol Surg 10:45–54CrossRefPubMed
34.
go back to reference Hickman SJ, Coulon O, Parker GJM, Barker GJ, Stevenson VL, Chard DT, Arridge SR, Thompson AJ, Miller DH (2003) Application of a B-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional MR images. J Magn Reson Imaging 18:368–371CrossRefPubMed Hickman SJ, Coulon O, Parker GJM, Barker GJ, Stevenson VL, Chard DT, Arridge SR, Thompson AJ, Miller DH (2003) Application of a B-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional MR images. J Magn Reson Imaging 18:368–371CrossRefPubMed
35.
go back to reference Hoad CL, Martel AL (2002) Segmentation of MR images for computer-assisted surgery of the lumbar spine. Phys Med Biol 47:3503–3517CrossRefPubMed Hoad CL, Martel AL (2002) Segmentation of MR images for computer-assisted surgery of the lumbar spine. Phys Med Biol 47:3503–3517CrossRefPubMed
36.
go back to reference Horsfield MA, Sala S, Neema M, Absinta M, Bakshi A, Sormani MP, Rocca MA, Bakshi R, Filippi M (2010) Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis. Neuroimage 50:446–455CrossRefPubMedPubMedCentral Horsfield MA, Sala S, Neema M, Absinta M, Bakshi A, Sormani MP, Rocca MA, Bakshi R, Filippi M (2010) Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis. Neuroimage 50:446–455CrossRefPubMedPubMedCentral
37.
go back to reference Hu H, Feng J, Yu C, Zhou J (2013) Multi-class constrained normalized cut with hard, soft, unary and pairwise priors and its applications to object segmentation. IEEE Trans Image Process 22:4328–4340CrossRefPubMed Hu H, Feng J, Yu C, Zhou J (2013) Multi-class constrained normalized cut with hard, soft, unary and pairwise priors and its applications to object segmentation. IEEE Trans Image Process 22:4328–4340CrossRefPubMed
38.
go back to reference Huang SH, Lai SH, Novak CL (2008) A statistical learning approach to vertebra detection and segmentation from spinal MRI. In: Proceedings of the 5th IEEE international symposium on biomedical imaging: from nano to macro, pp 125–128 Huang SH, Lai SH, Novak CL (2008) A statistical learning approach to vertebra detection and segmentation from spinal MRI. In: Proceedings of the 5th IEEE international symposium on biomedical imaging: from nano to macro, pp 125–128
39.
go back to reference Huang SH, Chu YH, Lai SH, Novak CL (2009) Learning-based vertebra detection and iterative normalized-cut segmentation for spinal MRI. IEEE Trans Med Imaging 28:1595–1605CrossRefPubMed Huang SH, Chu YH, Lai SH, Novak CL (2009) Learning-based vertebra detection and iterative normalized-cut segmentation for spinal MRI. IEEE Trans Med Imaging 28:1595–1605CrossRefPubMed
40.
go back to reference Jäger F, Hornegger J, Schwab S, Janka R (2009) Computer-aided assessment of anomalies in the scoliotic spine in 3-d MRI images. In: Proceedings of the 12th international conference on medical image computing and computer-assisted intervention. Springer, pp 819–826 Jäger F, Hornegger J, Schwab S, Janka R (2009) Computer-aided assessment of anomalies in the scoliotic spine in 3-d MRI images. In: Proceedings of the 12th international conference on medical image computing and computer-assisted intervention. Springer, pp 819–826
41.
go back to reference Jerebko AK, Schmidt GP, Zhou X, Bi J, Anand V, Liu J, Schoenberg S, Schmuecking I, Kiefer B, Krishnan A (2007) Robust parametric modeling approach based on domain knowledge for computer aided detection of vertebrae column metastases in MRI. In: Proceedings of the 17th international conference on information processing in medical imaging. Springer, pp 713–724 Jerebko AK, Schmidt GP, Zhou X, Bi J, Anand V, Liu J, Schoenberg S, Schmuecking I, Kiefer B, Krishnan A (2007) Robust parametric modeling approach based on domain knowledge for computer aided detection of vertebrae column metastases in MRI. In: Proceedings of the 17th international conference on information processing in medical imaging. Springer, pp 713–724
44.
go back to reference Kadoury S, Labelle H, Paragios N (2013) Spine segmentation in medical images using manifold embeddings and higher-order MRFs. IEEE Trans Med Imaging 32:1227–1238CrossRefPubMed Kadoury S, Labelle H, Paragios N (2013) Spine segmentation in medical images using manifold embeddings and higher-order MRFs. IEEE Trans Med Imaging 32:1227–1238CrossRefPubMed
45.
go back to reference Kawahara J, McIntosh C, Tam RC, Hamarneh G (2013) Globally optimal spinal cord segmentation using a minimal path in high dimensions. In: Proceedings of the 10th IEEE international symposium on biomedical imaging: from nano to macro, pp 848–851 Kawahara J, McIntosh C, Tam RC, Hamarneh G (2013) Globally optimal spinal cord segmentation using a minimal path in high dimensions. In: Proceedings of the 10th IEEE international symposium on biomedical imaging: from nano to macro, pp 848–851
46.
go back to reference Kelm BM, Zhou SK, Suehling M, Zheng Y, Wels M, Comaniciu D (2011) Detection of 3d spinal geometry using iterated marginal space learning. In: Proceedings of the 1st international workshop on medical computer vision: recognition techniques and applications in medical imaging. Springer, pp 96–105 Kelm BM, Zhou SK, Suehling M, Zheng Y, Wels M, Comaniciu D (2011) Detection of 3d spinal geometry using iterated marginal space learning. In: Proceedings of the 1st international workshop on medical computer vision: recognition techniques and applications in medical imaging. Springer, pp 96–105
47.
go back to reference Kelm BM, Wels M, Zhou SK, Seifert S, Suehling M, Zheng Y, Comaniciu D (2013) Spine detection in CT and MR using iterated marginal space learning. Med Image Anal 17:1283–1292CrossRef Kelm BM, Wels M, Zhou SK, Seifert S, Suehling M, Zheng Y, Comaniciu D (2013) Spine detection in CT and MR using iterated marginal space learning. Med Image Anal 17:1283–1292CrossRef
48.
go back to reference Koh J, Kim T, Chaudhary V, Dhillon G (2010) Automatic segmentation of the spinal cord and the dural sac in lumbar MR images using gradient vector flow field. In: Proceedings of the 32nd international conference of the IEEE engineering in medicine and biology society, pp 3117–3120 Koh J, Kim T, Chaudhary V, Dhillon G (2010) Automatic segmentation of the spinal cord and the dural sac in lumbar MR images using gradient vector flow field. In: Proceedings of the 32nd international conference of the IEEE engineering in medicine and biology society, pp 3117–3120
49.
go back to reference Koh J, Scott PD, Chaudhary V, Dhillon G (2011) An automatic segmentation method of the spinal canal from clinical MR images based on an attention model and an active contour model. In: Proceedings of the 8th IEEE international symposium on biomedical imaging: from nano to macro, pp 1467–1471 Koh J, Scott PD, Chaudhary V, Dhillon G (2011) An automatic segmentation method of the spinal canal from clinical MR images based on an attention model and an active contour model. In: Proceedings of the 8th IEEE international symposium on biomedical imaging: from nano to macro, pp 1467–1471
50.
go back to reference Koh J, Chaudhary V, Dhillon G (2012) Automated boundary extraction of the spinal canal in MRI based on dynamic programming. In: Proceedings of the 34th international conference of the IEEE engineering in medicine and biology society, pp 6559–6562 Koh J, Chaudhary V, Dhillon G (2012) Automated boundary extraction of the spinal canal in MRI based on dynamic programming. In: Proceedings of the 34th international conference of the IEEE engineering in medicine and biology society, pp 6559–6562
51.
go back to reference Koh J, Chaudhary V, Jeon EK, Dhillon G (2014) Automatic spinal canal detection in lumbar MR images in the sagittal view using dynamic programming. Comput Med Imaging Graphics 38:569–579CrossRef Koh J, Chaudhary V, Jeon EK, Dhillon G (2014) Automatic spinal canal detection in lumbar MR images in the sagittal view using dynamic programming. Comput Med Imaging Graphics 38:569–579CrossRef
52.
go back to reference Larhmam MA, Mahmoudi SA, Benjelloun M, Mahmoudi S, Manneback P (2014) A portable multi-CPU/multi-GPU based vertebra localization in sagittal MR images. In: Proceedings of the 17th international conference on image analysis and recognition. Springer, pp 209–218 Larhmam MA, Mahmoudi SA, Benjelloun M, Mahmoudi S, Manneback P (2014) A portable multi-CPU/multi-GPU based vertebra localization in sagittal MR images. In: Proceedings of the 17th international conference on image analysis and recognition. Springer, pp 209–218
53.
go back to reference Law MWK, Tay KY, Leung A, Garvin GJ, Li S (2013) Intervertebral disc segmentation in MR images using anisotropic oriented flux. Med Image Anal 17:43–61CrossRefPubMed Law MWK, Tay KY, Leung A, Garvin GJ, Li S (2013) Intervertebral disc segmentation in MR images using anisotropic oriented flux. Med Image Anal 17:43–61CrossRefPubMed
54.
go back to reference Lootus M, Kadir T, Zisserman A (2013) Vertebrae detection and labelling in lumbar MR images. In: Proceedings of the 1st workshop on computational methods and clinical applications for spine imaging. Springer, pp 219–230 Lootus M, Kadir T, Zisserman A (2013) Vertebrae detection and labelling in lumbar MR images. In: Proceedings of the 1st workshop on computational methods and clinical applications for spine imaging. Springer, pp 219–230
55.
go back to reference McIntosh C, Hamarneh G (2006) Spinal crawlers: deformable organisms for spinal cord segmentation and analysis. In: Proceedings of the 9th international conference on medical image computing and computer-assisted intervention. Springer, pp 808–815 McIntosh C, Hamarneh G (2006) Spinal crawlers: deformable organisms for spinal cord segmentation and analysis. In: Proceedings of the 9th international conference on medical image computing and computer-assisted intervention. Springer, pp 808–815
56.
go back to reference McIntosh C, Hamarneh G, Toom M, Tam RC (2011) Spinal cord segmentation for volume estimation in healthy and multiple sclerosis subjects using crawlers and minimal paths. In: Proceedings of the 1st IEEE international conference on healthcare informatics, imaging and systems biology, pp 25–31 McIntosh C, Hamarneh G, Toom M, Tam RC (2011) Spinal cord segmentation for volume estimation in healthy and multiple sclerosis subjects using crawlers and minimal paths. In: Proceedings of the 1st IEEE international conference on healthcare informatics, imaging and systems biology, pp 25–31
57.
go back to reference Michopoulou SK, Costaridou L, Panagiotopoulos E, Speller R, Todd-Pokropek A (2008) Segmenting degenerated lumbar intervertebral discs from MR images. In: Proceedings of the 15th IEEE nuclear science symposium and medical imaging conference, pp 4536–4539 Michopoulou SK, Costaridou L, Panagiotopoulos E, Speller R, Todd-Pokropek A (2008) Segmenting degenerated lumbar intervertebral discs from MR images. In: Proceedings of the 15th IEEE nuclear science symposium and medical imaging conference, pp 4536–4539
58.
go back to reference Michopoulou SK, Costaridou L, Panagiotopoulos E, Speller R, Panayiotakis G, Todd-Pokropek A (2009) Atlas-based segmentation of degenerated lumbar intervertebral discs from MR images of the spine. IEEE Trans Biomed Eng 56:2225–2231CrossRefPubMed Michopoulou SK, Costaridou L, Panagiotopoulos E, Speller R, Panayiotakis G, Todd-Pokropek A (2009) Atlas-based segmentation of degenerated lumbar intervertebral discs from MR images of the spine. IEEE Trans Biomed Eng 56:2225–2231CrossRefPubMed
59.
go back to reference Michopoulou SK, Costaridou L, Vlychou M, Speller R, Todd-Pokropek A (2011) Texture-based quantification of lumbar intervertebral disc degeneration from conventional t2-weighted MRI. Acta Radiol 52:91–98CrossRefPubMed Michopoulou SK, Costaridou L, Vlychou M, Speller R, Todd-Pokropek A (2011) Texture-based quantification of lumbar intervertebral disc degeneration from conventional t2-weighted MRI. Acta Radiol 52:91–98CrossRefPubMed
60.
go back to reference Mukherjee DP, Cheng I, Ray N, Mushahwar V, Lebel M, Basu A (2010) Automatic segmentation of spinal cord MRI using symmetric boundary tracing. IEEE Trans Inf Technol Biomed 14:1275–1278CrossRefPubMedPubMedCentral Mukherjee DP, Cheng I, Ray N, Mushahwar V, Lebel M, Basu A (2010) Automatic segmentation of spinal cord MRI using symmetric boundary tracing. IEEE Trans Inf Technol Biomed 14:1275–1278CrossRefPubMedPubMedCentral
62.
go back to reference Nasiri F, Zade HS (2013) Automatic segmentation of intervertebral disk from MR images of the spine based on graph cut method. In: IEEE proceedings of the 8th Iranian conference on machine vision and image processing, pp 300–303 Nasiri F, Zade HS (2013) Automatic segmentation of intervertebral disk from MR images of the spine based on graph cut method. In: IEEE proceedings of the 8th Iranian conference on machine vision and image processing, pp 300–303
63.
go back to reference Neubert A, Fripp J, Shen K, Salvado O, Schwarz R, Lauer L, Engstrom C, Crozier S (2011) Automated 3d segmentation of vertebral bodies and intervertebral discs from MRI. In: IEEE proceedings of the international conference on digital image computing: techniques and applications, pp 19–24 Neubert A, Fripp J, Shen K, Salvado O, Schwarz R, Lauer L, Engstrom C, Crozier S (2011) Automated 3d segmentation of vertebral bodies and intervertebral discs from MRI. In: IEEE proceedings of the international conference on digital image computing: techniques and applications, pp 19–24
64.
go back to reference Neubert A, Fripp J, Engstrom C, Schwarz R, Lauer L, Salvado O, Crozier S (2012) Automated detection, 3d segmentation and analysis of high resolution spine MR images using statistical shape models. Phys Med Biol 57:8357–8376CrossRefPubMed Neubert A, Fripp J, Engstrom C, Schwarz R, Lauer L, Salvado O, Crozier S (2012) Automated detection, 3d segmentation and analysis of high resolution spine MR images using statistical shape models. Phys Med Biol 57:8357–8376CrossRefPubMed
65.
go back to reference Neubert A, Fripp J, Engstrom C, Walker D, Weber MA, Schwarz R, Crozier S (2013) Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images. J Am Med Inf Assoc 20:1082–1090CrossRef Neubert A, Fripp J, Engstrom C, Walker D, Weber MA, Schwarz R, Crozier S (2013) Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images. J Am Med Inf Assoc 20:1082–1090CrossRef
66.
go back to reference Oktay AB, Akgul YS (2011) Localization of the lumbar discs using machine learning and exact probabilistic inference. In: Proceedings of the 14th international conference on medical image computing and computer-assisted intervention. Springer, pp 158–165 Oktay AB, Akgul YS (2011) Localization of the lumbar discs using machine learning and exact probabilistic inference. In: Proceedings of the 14th international conference on medical image computing and computer-assisted intervention. Springer, pp 158–165
67.
go back to reference Oktay AB, Akgul YS (2013) Simultaneous localization of lumbar vertebrae and intervertebral discs with SVM-based MRF. IEEE Trans Biomed Eng 60:2375–2383CrossRefPubMed Oktay AB, Akgul YS (2013) Simultaneous localization of lumbar vertebrae and intervertebral discs with SVM-based MRF. IEEE Trans Biomed Eng 60:2375–2383CrossRefPubMed
68.
go back to reference Pai A, Narasimhamurthy A, Rao VSV, Vaidya V (2011) Automated localization of vertebra landmarks in MRI images. In: Proceedings of SPIE medical imaging, SPIE, pp 79,633K.1–79,633K.6 Pai A, Narasimhamurthy A, Rao VSV, Vaidya V (2011) Automated localization of vertebra landmarks in MRI images. In: Proceedings of SPIE medical imaging, SPIE, pp 79,633K.1–79,633K.6
69.
go back to reference Pekar V, Bystrov D, Heese HS, Dries SPM, Schmidt S, Grewer R, den Harder CJ, Bergmans RC, Simonetti AW, van Muiswinkel AM (2007) Automated planning of scan geometries in spine MRI scans. In: Proceedings of the 10th international conference on medical image computing and computer-assisted intervention. Springer, pp 601–608 Pekar V, Bystrov D, Heese HS, Dries SPM, Schmidt S, Grewer R, den Harder CJ, Bergmans RC, Simonetti AW, van Muiswinkel AM (2007) Automated planning of scan geometries in spine MRI scans. In: Proceedings of the 10th international conference on medical image computing and computer-assisted intervention. Springer, pp 601–608
70.
go back to reference Peng Z, Zhong J, Wee W, Lee JH (2006) Automated vertebra detection and segmentation from the whole spine MR images. In: IEEE proceedings of the 28th international conference of the IEEE engineering in medicine and biology society, pp 2527–2530 Peng Z, Zhong J, Wee W, Lee JH (2006) Automated vertebra detection and segmentation from the whole spine MR images. In: IEEE proceedings of the 28th international conference of the IEEE engineering in medicine and biology society, pp 2527–2530
71.
go back to reference Rak M, Engel K, Tönnies KD (2013) Closed-form hierarchical finite element models for part-based object detection. In: Proceedings of the 18th international workshop on vision, modeling and visualization, eurographics association, pp 137–144 Rak M, Engel K, Tönnies KD (2013) Closed-form hierarchical finite element models for part-based object detection. In: Proceedings of the 18th international workshop on vision, modeling and visualization, eurographics association, pp 137–144
72.
go back to reference Rasoulian A, Rohling RN, Abolmaesumi P (2013) Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+pose model. IEEE Trans Med Imaging 32:1890–1900CrossRefPubMed Rasoulian A, Rohling RN, Abolmaesumi P (2013) Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+pose model. IEEE Trans Med Imaging 32:1890–1900CrossRefPubMed
73.
go back to reference Reisman J, Höppner J, Huang SH, Zhang L, Lai SH, Odry B, Novak CL (2006) Robust local intervertebral disc alignment for spinal MRI. In: Proceedings of SPIE medical imaging, SPIE, pp 614,406.1–614,406.10 Reisman J, Höppner J, Huang SH, Zhang L, Lai SH, Odry B, Novak CL (2006) Robust local intervertebral disc alignment for spinal MRI. In: Proceedings of SPIE medical imaging, SPIE, pp 614,406.1–614,406.10
74.
go back to reference Roberts N, Gratin C, Whitehouse GH (1997) MRI analysis of lumbar intervertebral disc height in young and older populations. J Magn Reson Imaging 7:880–886CrossRefPubMed Roberts N, Gratin C, Whitehouse GH (1997) MRI analysis of lumbar intervertebral disc height in young and older populations. J Magn Reson Imaging 7:880–886CrossRefPubMed
75.
go back to reference Schmidt S, Kappes J, Bergtholdt M, Pekar V, Dries SPM, Bystrov D, Schnörr C (2007) Spine detection and labeling using a parts-based graphical model. In: Proceedings of the 17th international conference on information processing in medical imaging. Springer, pp 122–133 Schmidt S, Kappes J, Bergtholdt M, Pekar V, Dries SPM, Bystrov D, Schnörr C (2007) Spine detection and labeling using a parts-based graphical model. In: Proceedings of the 17th international conference on information processing in medical imaging. Springer, pp 122–133
76.
go back to reference Schwarzenberg R, Freisleben B, Nimsky C, Egger J (2014) Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences. PloS one 9:e93,389.1–e93,389.17CrossRef Schwarzenberg R, Freisleben B, Nimsky C, Egger J (2014) Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences. PloS one 9:e93,389.1–e93,389.17CrossRef
77.
go back to reference Seifert S, Wachter I, Schmelzle G, Dillmann R (2009) A knowledge-based approach to soft tissue reconstruction of the cervical spine. IEEE Trans Med Imaging 28:494–507CrossRefPubMed Seifert S, Wachter I, Schmelzle G, Dillmann R (2009) A knowledge-based approach to soft tissue reconstruction of the cervical spine. IEEE Trans Med Imaging 28:494–507CrossRefPubMed
78.
go back to reference Shi R, Sun D, Qiu Z, Weiss KL (2007) An efficient method for segmentation of MRI spine images. In: Proceedings of the 1st IEEE international conference on complex medical engineering, pp 713–717 Shi R, Sun D, Qiu Z, Weiss KL (2007) An efficient method for segmentation of MRI spine images. In: Proceedings of the 1st IEEE international conference on complex medical engineering, pp 713–717
82.
go back to reference Štern D, Likar B, Pernuš F, Vrtovec T (2010) Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine. Phys Med Biol 55:247–264CrossRefPubMed Štern D, Likar B, Pernuš F, Vrtovec T (2010) Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine. Phys Med Biol 55:247–264CrossRefPubMed
83.
go back to reference Štern D, Likar B, Pernuš F, Vrtovec T (2010) Segmentation of vertebral bodies in MR images based on geometrical models in 3d. In: Proceedings of the 3rd international workshop on medical imaging and augmented reality. Springer, pp 419–428 Štern D, Likar B, Pernuš F, Vrtovec T (2010) Segmentation of vertebral bodies in MR images based on geometrical models in 3d. In: Proceedings of the 3rd international workshop on medical imaging and augmented reality. Springer, pp 419–428
84.
go back to reference Štern D, Vrtovec T, Pernuš F, Likar B (2010) Automated determination of the centers of vertebral bodies and intervertebral discs in CT and MR lumbar spine images. In: Proceedings of SPIE medical imaging. SPIE, pp 762,350.1–762,350.12 Štern D, Vrtovec T, Pernuš F, Likar B (2010) Automated determination of the centers of vertebral bodies and intervertebral discs in CT and MR lumbar spine images. In: Proceedings of SPIE medical imaging. SPIE, pp 762,350.1–762,350.12
85.
go back to reference Štern D, Likar B, Pernuš F, Vrtovec T (2011) Parametric modelling and segmentation of vertebral bodies in 3d CT and MR spine images. Phys Med Biol 56:7505–7522CrossRefPubMed Štern D, Likar B, Pernuš F, Vrtovec T (2011) Parametric modelling and segmentation of vertebral bodies in 3d CT and MR spine images. Phys Med Biol 56:7505–7522CrossRefPubMed
86.
go back to reference Štern D, Vrtovec T, Pernuš F, Likar B (2011) Segmentation of vertebral bodies in CT and MR images based on 3d deterministic models. In: Proceedings of SPIE medical imaging. SPIE, pp 79,620D.1–79,620D.12 Štern D, Vrtovec T, Pernuš F, Likar B (2011) Segmentation of vertebral bodies in CT and MR images based on 3d deterministic models. In: Proceedings of SPIE medical imaging. SPIE, pp 79,620D.1–79,620D.12
87.
go back to reference Suzani A, Rasoulian A, Fels S, Rohling RN, Abolmaesumi P (2014) Semi-automatic segmentation of vertebral bodies in volumetric MR images using a statistical shape+pose model. In: Proceedings of SPIE medical imaging. SPIE, pp 90,360P.1–90,360P.6 Suzani A, Rasoulian A, Fels S, Rohling RN, Abolmaesumi P (2014) Semi-automatic segmentation of vertebral bodies in volumetric MR images using a statistical shape+pose model. In: Proceedings of SPIE medical imaging. SPIE, pp 90,360P.1–90,360P.6
88.
go back to reference Tang Z, Pauli J (2011) Fully automatic extraction of human spine curve from MR images using methods of efficient intervertebral disk extraction and vertebra registration. Int J Comput Assist Radiol Surg 6:21–33CrossRefPubMed Tang Z, Pauli J (2011) Fully automatic extraction of human spine curve from MR images using methods of efficient intervertebral disk extraction and vertebra registration. Int J Comput Assist Radiol Surg 6:21–33CrossRefPubMed
89.
go back to reference van Uitert R, Bitter I, Butman JA (2005) Semi-automatic spinal cord segmentation and quantification. In: Proceedings of the 19th international congress and exhibition on computer assisted radiology and surgery. Springer, pp 224–229 van Uitert R, Bitter I, Butman JA (2005) Semi-automatic spinal cord segmentation and quantification. In: Proceedings of the 19th international congress and exhibition on computer assisted radiology and surgery. Springer, pp 224–229
90.
go back to reference Ullmann E, Pelletier-Paquette JF, Thong WE, Cohen-Adad J (2014) Automatic labeling of vertebral levels using a robust template-based approach. Int J Biomed Imaging 2014:719,520.1–719,520.9CrossRef Ullmann E, Pelletier-Paquette JF, Thong WE, Cohen-Adad J (2014) Automatic labeling of vertebral levels using a robust template-based approach. Int J Biomed Imaging 2014:719,520.1–719,520.9CrossRef
91.
go back to reference Vrtovec T (2008) Modality-independent determination of vertebral position and rotation in 3d. In: Proceedings of the 1st international workshop on medical imaging and augmented reality. Springer, pp 89–97 Vrtovec T (2008) Modality-independent determination of vertebral position and rotation in 3d. In: Proceedings of the 1st international workshop on medical imaging and augmented reality. Springer, pp 89–97
92.
go back to reference Vrtovec T, Ourselin S, Gomes L, Likar B, Pernuš F (2006) Generation of curved planar reformations from magnetic resonance images of the spine. In: Proceedings of the 9th international conference on medical image computing and computer-assisted intervention. Springer, pp 135–143 Vrtovec T, Ourselin S, Gomes L, Likar B, Pernuš F (2006) Generation of curved planar reformations from magnetic resonance images of the spine. In: Proceedings of the 9th international conference on medical image computing and computer-assisted intervention. Springer, pp 135–143
93.
go back to reference Vrtovec T, Ourselin S, Gomes L, Likar B, Pernuš F (2007) Automated generation of curved planar reformations from MR images of the spine. Phys Med Biol 52:2865–2878CrossRefPubMed Vrtovec T, Ourselin S, Gomes L, Likar B, Pernuš F (2007) Automated generation of curved planar reformations from MR images of the spine. Phys Med Biol 52:2865–2878CrossRefPubMed
94.
go back to reference Vrtovec T, Pernuš F, Likar B (2008) A symmetry-based method for the determination of vertebral rotation in 3d. In: Proceedings of the 11th international conference on medical image computing and computer-assisted intervention, Lecture notes in computer science. Springer, pp 942–950 Vrtovec T, Pernuš F, Likar B (2008) A symmetry-based method for the determination of vertebral rotation in 3d. In: Proceedings of the 11th international conference on medical image computing and computer-assisted intervention, Lecture notes in computer science. Springer, pp 942–950
95.
go back to reference Wachter I, Seifert S, Dillmann R (2005) Automatic segmentation of cervical soft tissue from MR images. In: Proceedings of surgetica, CAMI Wachter I, Seifert S, Dillmann R (2005) Automatic segmentation of cervical soft tissue from MR images. In: Proceedings of surgetica, CAMI
96.
go back to reference Weiss KL, Storrs JM, Banto RB (2006) Automated spine survey iterative scan technique. Radiology 239:255–262CrossRefPubMed Weiss KL, Storrs JM, Banto RB (2006) Automated spine survey iterative scan technique. Radiology 239:255–262CrossRefPubMed
97.
go back to reference Wu MC, Kuo YL, Chen CW, Fang CA, Chin CL, Tsai HH, Tyan YS, Wei JCC (2014) Degenerative disc segmentation and diagnosis technology using important features from MRI of spine in images. Biomed Eng Appl Basis Commun 26:1440,008.1–1440,008.7 Wu MC, Kuo YL, Chen CW, Fang CA, Chin CL, Tsai HH, Tyan YS, Wei JCC (2014) Degenerative disc segmentation and diagnosis technology using important features from MRI of spine in images. Biomed Eng Appl Basis Commun 26:1440,008.1–1440,008.7
98.
go back to reference Yen C, Su HR, Lai SH, Liu KC, Lee RR (2013) 3d spinal cord and nerves segmentation from STIR-MRI. In: Advances in intelligent systems and applications. Springer, pp 383–392 Yen C, Su HR, Lai SH, Liu KC, Lee RR (2013) 3d spinal cord and nerves segmentation from STIR-MRI. In: Advances in intelligent systems and applications. Springer, pp 383–392
99.
go back to reference Zha Y, Sun D, Weiss KL (2009) Detection of disk in the MRI spine image with reconstructing coronal plane. In: IEEE Proceedings of the 3rd international conference on bioinformatics and biomedical engineering, pp 1–4 Zha Y, Sun D, Weiss KL (2009) Detection of disk in the MRI spine image with reconstructing coronal plane. In: IEEE Proceedings of the 3rd international conference on bioinformatics and biomedical engineering, pp 1–4
100.
go back to reference Zhan Y, Maneesh D, Harder M, Zhou XS (2012) Robust MR spine detection using hierarchical learning and local articulated model. In: Proceedings of the 15th international conference on medical image computing and computer-assisted intervention. Springer, pp 141–148 Zhan Y, Maneesh D, Harder M, Zhou XS (2012) Robust MR spine detection using hierarchical learning and local articulated model. In: Proceedings of the 15th international conference on medical image computing and computer-assisted intervention. Springer, pp 141–148
101.
go back to reference Zhao YJ, Shi L, Li JC, Griffith JF, Ahuja AT, Heng PA (2011) Vertebra segmentation of spine MRI with improved GVF snake based on shape knowledge. In: IEEE proceedings of the 10th international conference on machine learning and cybernetics, pp 1867–1871 Zhao YJ, Shi L, Li JC, Griffith JF, Ahuja AT, Heng PA (2011) Vertebra segmentation of spine MRI with improved GVF snake based on shape knowledge. In: IEEE proceedings of the 10th international conference on machine learning and cybernetics, pp 1867–1871
102.
go back to reference Zheng Q, Lu Z, Feng Q, Ma J, Yang W, Chen C, Chen W (2013) Adaptive segmentation of vertebral bodies from sagittal MR images based on local spatial information and Gaussian weighted chi-square distance. J Digital Imaging 26:578–593CrossRef Zheng Q, Lu Z, Feng Q, Ma J, Yang W, Chen C, Chen W (2013) Adaptive segmentation of vertebral bodies from sagittal MR images based on local spatial information and Gaussian weighted chi-square distance. J Digital Imaging 26:578–593CrossRef
103.
go back to reference Zukić D, Vlasák A, Dukatz T, Egger J, Hořínek D, Nimsky C, Kolb A (2012) Segmentation of vertebral bodies in MR images. In: Proceedings of the 17th international workshop on vision, modeling and visualization, eurographics association, pp 135–142 Zukić D, Vlasák A, Dukatz T, Egger J, Hořínek D, Nimsky C, Kolb A (2012) Segmentation of vertebral bodies in MR images. In: Proceedings of the 17th international workshop on vision, modeling and visualization, eurographics association, pp 135–142
104.
go back to reference Zukić D, Vlasák A, Egger J, Hořínek D, Nimsky C, Kolb A (2014) Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images. Comput Graph Forum 33:190–204 Zukić D, Vlasák A, Egger J, Hořínek D, Nimsky C, Kolb A (2014) Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images. Comput Graph Forum 33:190–204
Metadata
Title
On computerized methods for spine analysis in MRI: a systematic review
Authors
Marko Rak
Klaus D. Tönnies
Publication date
01-08-2016
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 8/2016
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-016-1350-2

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