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Open Access 01-12-2018 | Technical advance

Performance of a feature-based algorithm for 3D-3D registration of CT angiography to cone-beam CT for endovascular repair of complex abdominal aortic aneurysms

Authors: Giasemi Koutouzi, Behrooz Nasihatkton, Monika Danielak-Nowak, Henrik Leonhardt, Mårten Falkenberg, Fredrik Kahl

Published in: BMC Medical Imaging | Issue 1/2018

Abstract

Background

A crucial step in image fusion for intraoperative guidance during endovascular procedures is the registration of preoperative computed tomography angiography (CTA) with intraoperative Cone Beam CT (CBCT). Automatic tools for image registration facilitate the 3D image guidance workflow. However their performance is not always satisfactory. The aim of this study is to assess the accuracy of a new fully automatic, feature-based algorithm for 3D3D registration of CTA to CBCT.

Methods

The feature-based algorithm was tested on clinical image datasets from 14 patients undergoing complex endovascular aortic repair. Deviations in Euclidian distances between vascular as well as bony landmarks were measured and compared to an intensity-based, normalized mutual information algorithm.

Results

The results for the feature-based algorithm showed that the median 3D registration error between the anatomical landmarks of CBCT and CT images was less than 3 mm. The feature-based algorithm showed significantly better accuracy compared to the intensity-based algorithm (p < 0.001).

Conclusion

A feature-based algorithm for 3D image registration is presented.

Parodi JC, Palmaz JC, Barone HD. Transfemoral intraluminal graft implantation for abdominal aortic aneurysms. Ann Vasc Surg. 1991;5:491–9.CrossRefPubMed

Volodos NL, Karpovich IP, Troyan VI, YuV K, Shekhanin VE, Ternyuk NE, et al. Clinical experience of the use of self-fixing synthetic prostheses for remote endoprosthetics of the thoracic and the abdominal aorta and iliac arteries through the femoral artery and as intraoperative endoprosthesis for aorta reconstruction. VASA Suppl. 1991;33:93–5.PubMed

ELG V, Katsargyris A, Bekkema F, Oikonomou K, CJAM Z, Ritter W, et al. Editor’s choice - ten-year experience with endovascular repair of Thoracoabdominal aortic aneurysms: results from 166 consecutive patients. Eur J Vasc Endovasc Surg. 2015;49:524–31.CrossRef

Guillou M, Bianchini A, Sobocinski J, Maurel B, D’elia P, Tyrrell M, et al. Endovascular treatment of thoracoabdominal aortic aneurysms. J Vasc Surg. 2012;56:65–73.CrossRefPubMed

Dijkstra ML, Eagleton MJ, Greenberg RK, Mastracci T, Hernandez A. Intraoperative C-arm cone-beam computed tomography in fenestrated/branched aortic endografting. J Vasc Surg. 2011;53:583–90. https://doi.org/10.1016/j.jvs.2010.09.039.CrossRefPubMed

Sailer AM, De Haan MW, Peppelenbosch AG, Jacobs MJ, Wildberger JE, Schurink GWH. CTA with fluoroscopy image fusion guidance in endovascular complex aortic aneurysm repair. Eur J Vasc Endovasc Surg. 2014;47:349–56. https://doi.org/10.1016/j.ejvs.2013.12.022.CrossRefPubMed

McNally MM, Scali ST, Feezor RJ, Neal D, Huber TS, Beck AW. Three-dimensional fusion computed tomography decreases radiation exposure, procedure time, and contrast use during fenestrated endovascular aortic repair. J Vasc Surg. 2015;61:309–16. https://doi.org/10.1016/j.jvs.2014.07.097.CrossRefPubMed

Dias NV, Billberg H, Sonesson B, Törnqvist P, Resch T, Kristmundsson T. The effects of combining fusion imaging, low-frequency pulsed fluoroscopy, and low-concentration contrast agent during endovascular aneurysm repair. J Vasc Surg. 2016;63:1147–55. https://doi.org/10.1016/j.jvs.2015.11.033.CrossRefPubMed

Ahmad W, Gawenda M, Brunkwall S, Shahverdyan R, Brunkwall JS. Endovascular Aortoiliac aneurysm repair with fenestrated stent graft and iliac side branch using image fusion without iodinated contrast medium. Ann Vasc Surg. 2016;33:231.CrossRefPubMed

10.

Schwein A, Chinnadurai P, Behler G, Lumsden AB, Bismuth J, Bechara CF. Computed tomography angiography-fluoroscopy image fusion allows visceral vessel cannulation without angiography during fenestrated endovascular aneurysm repair. J Vasc Surg. 2018;68(1):2–11. https://doi.org/10.1016/j.jvs.2017.11.062.CrossRefPubMed

11.

Abi-Jaoudeh N, Kruecker J, Kadoury S, Kobeiter H, Venkatesan AM, Levy E, et al. Multimodality image fusion-guided procedures: technique, accuracy, and applications. Cardiovasc Intervent Radiol. 2012;35:986–98.CrossRefPubMedPubMedCentral

12.

Kaladji A, Daoudal A, Clochard E, Gindre J, Cardon A, Castro M, et al. Interest of fusion imaging and modern navigation tools with hybrid rooms in endovascular aortic procedures. J Cardiovasc Surg. 2017;58:458–66.

13.

Tacher V, Lin M, Desgranges P, Deux JF, Grünhagen T, Becquemin JP, et al. Image guidance for endovascular repair of complex aortic aneurysms: comparison of two-dimensional and three-dimensional angiography and image fusion. J Vasc Interv Radiol. 2013;24:1698–706. https://doi.org/10.1016/j.jvir.2013.07.016.CrossRefPubMedPubMedCentral

14.

Koutouzi G, Sandström C, Roos H, Henrikson O, Leonhardt H, Falkenberg M. Orthogonal rings, fiducial markers, and overlay accuracy when image fusion is used for EVAR guidance. Eur J Vasc Endovasc Surg. 2016;52:604–11. https://doi.org/10.1016/j.ejvs.2016.07.024.CrossRefPubMed

15.

Thirion JP. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal. 1998;2(3):243–60.CrossRefPubMed

16.

Nithiananthan S, Schafer S, Uneri A, Mirota DJ, Stayman W, Zbijewski W, Brock KK, et al. Demons deformable registration of CT and cone-beam CT using an iterative intensity matching approach. Med Phys. 2011;38:1785–98.CrossRefPubMedPubMedCentral

17.

Lou Y, Niu T, Jia X, Vela PA, Zhu L, Tannenbaum AR. Joint CT/CBCT deformable registration and CBCT enhancement for cancerradiotherapy. Med Image Anal. 2013;3:387–400.CrossRef

18.

Yu G, Liang Y, Yang G, Shu H, Li B, Yin Y, Li D, et al. Accelerated gradient-based free form deformable registration for online adaptive radiotherapy. Physics in medicine & Biology. 2015;60:2765.CrossRef

19.

Miao S, Liao R, Pfister M, Zhang L, Ordy V. System and method for 3-D/3-D registration between non-contrast-enhanced CBCT and contrast-enhanced CT for abdominal aortic aneurysm stenting. Lect notes Comput Sci (including Subser Lect notes Artif Intell Lect notes Bioinformatics). 2013;8149 LNCS PART(1):380–7.

20.

Xie Y, Chao M, Lee P, Xing L. Feature-based rectal contour propagation from planning CT to cone beam CT. Med Phys. 2008;35:4450–9.CrossRefPubMedPubMedCentral

21.

Xie Y, Chao M, Xiong G. Deformable image registration of liver with consideration of lung sliding motion. Med Phys. 2011;38:5351–61.CrossRefPubMed

22.

Paganelli C, Peroni M, Riboldi M, Sharp GC, Ciardo D, Alterio D, et al. Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication. Phys Med Biol. 2012;58:287.CrossRefPubMed

23.

Svärm L, Enqvist O, Kahl F, Oskarsson M. Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach. In Conf. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBI.2015.7163998.

24.

Allaire S, Kim JJ, Breen SL, Jaffray DA, Pekar V. Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis, vol. 2008. Anchorage, AK: 2008 IEEE computer society conference on computer vision and pattern recognition workshops; 2008. p. 1–8. https://doi.org/10.1109/CVPRW.2008.4563023.CrossRef

25.

Sotiras C, Davatzikos NP. Deformable medical image registration: a survey. IEEE Trans Med Imaging. 2013;32(7):1153–90.CrossRefPubMedPubMedCentral

26.

Schulz CJ, Schmitt M, Boeckler D, Geisbusch P. Fusion imaging to support endovascular aneurysm repair using 3D-3D registration. J Endovasc Ther. 2016;23:791–9. https://doi.org/10.1177/1526602816660327.CrossRefPubMed

Title: Performance of a feature-based algorithm for 3D-3D registration of CT angiography to cone-beam CT for endovascular repair of complex abdominal aortic aneurysms
Authors: Giasemi Koutouzi
Behrooz Nasihatkton
Monika Danielak-Nowak
Henrik Leonhardt
Mårten Falkenberg
Fredrik Kahl
Publication date: 01-12-2018
Publisher: BioMed Central
Published in: BMC Medical Imaging / Issue 1/2018
Electronic ISSN: 1471-2342
DOI: https://doi.org/10.1186/s12880-018-0285-1

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Performance of a feature-based algorithm for 3D-3D registration of CT angiography to cone-beam CT for endovascular repair of complex abdominal aortic aneurysms

Abstract

Background

Methods

Results

Conclusion

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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