Skip to main content
Top
Published in: International Journal of Computer Assisted Radiology and Surgery 8/2019

01-08-2019 | Original Article

Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy

Authors: Yuan Dong, Chenxi Zhang, Dafeng Ji, Manning Wang, Zhijian Song

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 8/2019

Login to get access

Abstract

Purpose

The conventional surface-based method only registers the facial zone with preoperative point cloud, resulting in low accuracy away from the facial area. Acquiring a point cloud of the entire head for registration can improve registration accuracy in all parts of the head. However, it takes a long time to collect a point cloud of the entire head. It may be more practical to selectively scan part of the head to ensure high registration accuracy in the surgical area of interest. In this study, we investigate the effects of different scan regions on registration errors in different target areas when using a surface-based registration method.

Methods

We first evaluated the correlation between the laser scan resolution and registration accuracy to determine an appropriate scan resolution. Then, with the appropriate resolution, we explored the effects of scan modes on registration error in computer simulation experiments, phantom experiments and two clinical cases. The scan modes were designed based on different combinations of five zones of the head surface, i.e., the sphenoid-frontal zone, parietal zone, left temporal zone, right temporal zone and occipital zone. In the phantom experiment, a handheld scanner was used to acquire a point cloud of the head. A head model containing several tumors was designed, enabling us to calculate the target registration errors deep in the brain to evaluate the effect of regional-surface-based registration.

Result

The optimal scan modes for tumors located in the sphenoid-frontal, parietal and temporal areas are mode 4 (i.e., simultaneously scanning the sphenoid-frontal zone and the temporal zone), mode 4 and mode 6 (i.e., simultaneously scanning the sphenoid-frontal zone, the temporal zone and the parietal zone), respectively. For the tumor located in the occipital area, no modes were able to achieve reliable accuracy.

Conclusion

The results show that selecting an appropriate scan resolution and scan mode can achieve reliable accuracy for use in sphenoid-frontal, parietal and temporal area surgeries while effectively reducing the operation time.
Appendix
Available only for authorised users
Literature
2.
go back to reference Maurer CR, Fitzpatrick JM, Wang MY, Galloway RL, Maciunas RJ, Allen GS (1997) Registration of head volume images using implantable fiducial markers. IEEE Trans Med Imaging 16:447–462CrossRefPubMed Maurer CR, Fitzpatrick JM, Wang MY, Galloway RL, Maciunas RJ, Allen GS (1997) Registration of head volume images using implantable fiducial markers. IEEE Trans Med Imaging 16:447–462CrossRefPubMed
3.
go back to reference Mascott CR, Sol JC, Bousquet P, Lagarrigue J, Lazorthes Y, Lauwers-Cances V (2006) Quantification of true in vivo application accuracy in cranial image-guided surgery: influence of mode of patient registration. Neurosurgery 59:146–156 Mascott CR, Sol JC, Bousquet P, Lagarrigue J, Lazorthes Y, Lauwers-Cances V (2006) Quantification of true in vivo application accuracy in cranial image-guided surgery: influence of mode of patient registration. Neurosurgery 59:146–156
4.
go back to reference Mascott CR (2006) In vivo accuracy of image guidance performed using optical tracking and optimized registration. J Neurosurg 105:561–567CrossRefPubMed Mascott CR (2006) In vivo accuracy of image guidance performed using optical tracking and optimized registration. J Neurosurg 105:561–567CrossRefPubMed
5.
go back to reference Manning W, Zhijian S (2010) Distribution templates of the fiducial points in image-guided neurosurgery. Neurosurgery 66:143–151 Manning W, Zhijian S (2010) Distribution templates of the fiducial points in image-guided neurosurgery. Neurosurgery 66:143–151
6.
go back to reference Schonemann PH (1966) A generalized solution of the orthogonal Procrustes problem. Psychometrika 31:1–10CrossRef Schonemann PH (1966) A generalized solution of the orthogonal Procrustes problem. Psychometrika 31:1–10CrossRef
7.
go back to reference Arun K, Huang T, Blostein SD (1987) Least-squares fitting of two 3D point sets. IEEE Trans Pattern Anal Mach Intell 9:699–700 Arun K, Huang T, Blostein SD (1987) Least-squares fitting of two 3D point sets. IEEE Trans Pattern Anal Mach Intell 9:699–700
8.
go back to reference Cao A, Thompson RC, Dumpuri P (2008) Laser range scanning for image-guided neurosurgery: investigation of image-to-physical space registrations. Med Phys 35:593–1605 Cao A, Thompson RC, Dumpuri P (2008) Laser range scanning for image-guided neurosurgery: investigation of image-to-physical space registrations. Med Phys 35:593–1605
9.
go back to reference Ji S, Roberts DW, Hartov A, Paulsen KD (2012) Intraoperative patient registration using volumetric true 3D ultrasound without fiducials. Med Phys 39:7540–7552CrossRefPubMedPubMedCentral Ji S, Roberts DW, Hartov A, Paulsen KD (2012) Intraoperative patient registration using volumetric true 3D ultrasound without fiducials. Med Phys 39:7540–7552CrossRefPubMedPubMedCentral
10.
go back to reference Fan Y, Lüth T, Ji S, Hartov A, Paulsen KD (2015) Intraoperative fiducial-less patient registration using volumetric 3D ultrasound: a prospective series of 32 neurosurgical cases. J Neurosurg 123(3):721–731CrossRefPubMedPubMedCentral Fan Y, Lüth T, Ji S, Hartov A, Paulsen KD (2015) Intraoperative fiducial-less patient registration using volumetric 3D ultrasound: a prospective series of 32 neurosurgical cases. J Neurosurg 123(3):721–731CrossRefPubMedPubMedCentral
11.
go back to reference Wang MN, Song ZJ (2011) Properties of the target registration error for surface matching in neuronavigation. Comput Aided Surg 16:161–169CrossRefPubMed Wang MN, Song ZJ (2011) Properties of the target registration error for surface matching in neuronavigation. Comput Aided Surg 16:161–169CrossRefPubMed
12.
go back to reference Fan Y, Jiang D, Wang M, Song Z (2014) A new markerless patient-to-image registration method using a portable 3D scanner. Med Phys 41:101910CrossRefPubMed Fan Y, Jiang D, Wang M, Song Z (2014) A new markerless patient-to-image registration method using a portable 3D scanner. Med Phys 41:101910CrossRefPubMed
13.
go back to reference Liu Y, Song Z, Wang M (2017) A, new robust markerless method for automatic image-to-patient registration in image-guided neurosurgery system. Comput Assist Surg 22:319CrossRef Liu Y, Song Z, Wang M (2017) A, new robust markerless method for automatic image-to-patient registration in image-guided neurosurgery system. Comput Assist Surg 22:319CrossRef
14.
go back to reference Miga MI, Sinha TK, Cash DM, Galloway RL, Weil RJ (2003) Cortical surface registration for image-guided neurosurgery using laser-range scanning. IEEE Trans Med Imaging 22:973–985CrossRefPubMed Miga MI, Sinha TK, Cash DM, Galloway RL, Weil RJ (2003) Cortical surface registration for image-guided neurosurgery using laser-range scanning. IEEE Trans Med Imaging 22:973–985CrossRefPubMed
15.
go back to reference Marmulla R, Muhling J, Wirtz CR, Hassfeld S (2004) High-resolution laser surface scanning for patient registration in cranial computer-assisted surgery. Minim Invasive Neurosurg 47:72–78CrossRefPubMed Marmulla R, Muhling J, Wirtz CR, Hassfeld S (2004) High-resolution laser surface scanning for patient registration in cranial computer-assisted surgery. Minim Invasive Neurosurg 47:72–78CrossRefPubMed
16.
go back to reference Schicho K, Figl M, Seemann R, Donat M, Pretterklieber ML, Birkfellner W, Reichwein A, Wanschitz F, Kainberger F, Bergmann H (2007) Comparison of laser surface scanning and fiducial marker-based registration in frameless stereotaxy: technical note. J Neurosurg 106:704–709CrossRefPubMed Schicho K, Figl M, Seemann R, Donat M, Pretterklieber ML, Birkfellner W, Reichwein A, Wanschitz F, Kainberger F, Bergmann H (2007) Comparison of laser surface scanning and fiducial marker-based registration in frameless stereotaxy: technical note. J Neurosurg 106:704–709CrossRefPubMed
17.
go back to reference Woerdeman PA, Willems PW, Noordmans HJ, Tulleken CA, van der Sprenkel JWB (2007) Application accuracy in frameless image-guided neurosurgery: a comparison study of three patient-to-image registration methods. J Neurosurg 106:1012–1016CrossRefPubMed Woerdeman PA, Willems PW, Noordmans HJ, Tulleken CA, van der Sprenkel JWB (2007) Application accuracy in frameless image-guided neurosurgery: a comparison study of three patient-to-image registration methods. J Neurosurg 106:1012–1016CrossRefPubMed
18.
go back to reference Paraskevopoulos D, Unterberg A, Metzner R, Dreyhaupt J, Eggers G, Wirtz CR (2011) Comparative study of application accuracy of two frameless neuronavigation systems: experimental error assessment quantifying registration methods and clinically influencing factors. Neurosurg Rev 34:217–228CrossRef Paraskevopoulos D, Unterberg A, Metzner R, Dreyhaupt J, Eggers G, Wirtz CR (2011) Comparative study of application accuracy of two frameless neuronavigation systems: experimental error assessment quantifying registration methods and clinically influencing factors. Neurosurg Rev 34:217–228CrossRef
19.
go back to reference Bucholz R, Macneil W, Fewings P, Ravindra A, Mcdurmont L, Baumann C (2000) Automated rejection of contaminated surface measurements for improved surface registration in image guided neurosurgery. Stud Health Technol Inf 70:39–45 Bucholz R, Macneil W, Fewings P, Ravindra A, Mcdurmont L, Baumann C (2000) Automated rejection of contaminated surface measurements for improved surface registration in image guided neurosurgery. Stud Health Technol Inf 70:39–45
20.
go back to reference Raabe A, Krishnan R, Wolff R, Hermann E, Zimmermann M (2002) Laser surface scanning for patient registration in intracranial image-guided surgery. Neurosurgery 50:802–803 Raabe A, Krishnan R, Wolff R, Hermann E, Zimmermann M (2002) Laser surface scanning for patient registration in intracranial image-guided surgery. Neurosurgery 50:802–803
21.
go back to reference Marmulla R, Lüth T, Mühlin J, Hassfeld S (2004) Automated laser registration in image-guided surgery: evaluation of the correlation between laser scan resolution and navigation accuracy. Int J Oral Maxillofac Surg 33:642–648CrossRefPubMed Marmulla R, Lüth T, Mühlin J, Hassfeld S (2004) Automated laser registration in image-guided surgery: evaluation of the correlation between laser scan resolution and navigation accuracy. Int J Oral Maxillofac Surg 33:642–648CrossRefPubMed
Metadata
Title
Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy
Authors
Yuan Dong
Chenxi Zhang
Dafeng Ji
Manning Wang
Zhijian Song
Publication date
01-08-2019
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 8/2019
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-01990-6

Other articles of this Issue 8/2019

International Journal of Computer Assisted Radiology and Surgery 8/2019 Go to the issue