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Published in: International Journal of Computer Assisted Radiology and Surgery 11/2019

01-11-2019 | Original Article

Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair

Authors: Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas Maier

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 11/2019

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Abstract

Purpose

Endovascular repair of aortic aneurysms (EVAR) can be supported by fusing pre- and intraoperative data to allow for improved navigation and to reduce the amount of contrast agent needed during the intervention. However, stiff wires and delivery devices can deform the vasculature severely, which reduces the accuracy of the fusion. Knowledge about the 3D position of the inserted instruments can help to transfer these deformations to the preoperative information.

Method

We propose a method to simultaneously reconstruct the stiff wires in both iliac arteries based on only a single monoplane acquisition, thereby avoiding interference with the clinical workflow. In the available X-ray projection, the 2D course of the wire is extracted. Then, a virtual second view of each wire orthogonal to the real projection is estimated using the preoperative vessel anatomy from a computed tomography angiography as prior information. Based on the real and virtual 2D wire courses, the wires can then be reconstructed in 3D using epipolar geometry.

Results

We achieve a mean modified Hausdorff distance of 4.2 mm between the estimated 3D position and the true wire course for the contralateral side and 4.5 mm for the ipsilateral side.

Conclusion

The accuracy and speed of the proposed method allow for use in an intraoperative setting of deformation correction for EVAR.
Literature
2.
go back to reference Ambrosini P, Ruijters D, Niessen WJ, Moelker A, van Walsum T (2017) Fully automatic and real-time catheter segmentation in X-ray fluoroscopy. In: MICCAI 2017: 20th international conference, proceedings, Part II, pp 577–585 Ambrosini P, Ruijters D, Niessen WJ, Moelker A, van Walsum T (2017) Fully automatic and real-time catheter segmentation in X-ray fluoroscopy. In: MICCAI 2017: 20th international conference, proceedings, Part II, pp 577–585
4.
go back to reference Bender HJ, Männer R, Poliwoda C, Roth S, Walz M (1999) Reconstruction of 3D catheter paths from 2D X-ray projections. In: Taylor C, Colchester A (eds) Medical image computing and computer-assisted intervention—MICCAI’99. Springer, Berlin, pp 981–989CrossRef Bender HJ, Männer R, Poliwoda C, Roth S, Walz M (1999) Reconstruction of 3D catheter paths from 2D X-ray projections. In: Taylor C, Colchester A (eds) Medical image computing and computer-assisted intervention—MICCAI’99. Springer, Berlin, pp 981–989CrossRef
5.
go back to reference Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, Berlin Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, Berlin
7.
go back to reference Breininger K, Hanika M, Weule M, Kowarschik M, Pfister M, Maier A (2019) 3D-reconstruction of stiff wires from a single monoplane X-ray image. In: Bildverarbeitung für die Medizin (BVM) Workshop Breininger K, Hanika M, Weule M, Kowarschik M, Pfister M, Maier A (2019) 3D-reconstruction of stiff wires from a single monoplane X-ray image. In: Bildverarbeitung für die Medizin (BVM) Workshop
8.
go back to reference Breininger K, Pfister M, Koutouzi G, Kowarschik M, Maier A (2017) Estimation of femoral artery access location for anatomic deformation correction. In: Skalej M, Hoeschen C (eds.) 3rd conference on image-guided interventions & Fokus Neuroradiologie, pp 23–24 Breininger K, Pfister M, Koutouzi G, Kowarschik M, Maier A (2017) Estimation of femoral artery access location for anatomic deformation correction. In: Skalej M, Hoeschen C (eds.) 3rd conference on image-guided interventions & Fokus Neuroradiologie, pp 23–24
9.
go back to reference Breininger K, Würfl T, Kurzendorfer T, Albarqouni S, Pfister M, Kowarschik M, Navab N, Maier A (2018) Multiple device segmentation for fluoroscopic imaging using multi-task learning. Intravascular imaging and computer assisted stenting and large-scale annotation of biomedical data and expert label synthesis. Springer, Cham, pp 19–27CrossRef Breininger K, Würfl T, Kurzendorfer T, Albarqouni S, Pfister M, Kowarschik M, Navab N, Maier A (2018) Multiple device segmentation for fluoroscopic imaging using multi-task learning. Intravascular imaging and computer assisted stenting and large-scale annotation of biomedical data and expert label synthesis. Springer, Cham, pp 19–27CrossRef
10.
go back to reference Brückner M, Deinzer F, Denzler J (2009) Temporal estimation of the 3d guide-wire position using 2d X-ray images. In: Yang GZ, Hawkes D, Rueckert D, Noble A, Taylor C (eds) Medical image computing and computer-assisted intervention—MICCAI 2009. Springer, Berlin, pp 386–393CrossRef Brückner M, Deinzer F, Denzler J (2009) Temporal estimation of the 3d guide-wire position using 2d X-ray images. In: Yang GZ, Hawkes D, Rueckert D, Noble A, Taylor C (eds) Medical image computing and computer-assisted intervention—MICCAI 2009. Springer, Berlin, pp 386–393CrossRef
15.
go back to reference Hoffmann M, Brost A, Jakob C, Bourier F, Koch M, Kurzidim K, Hornegger J, Strobel N (2012) Semi-automatic catheter reconstruction from two views. In: Proceedings of the 15th international conference on medical image computing and computer-assisted intervention - Part II, pp 584–591 . https://doi.org/10.1007/978-3-642-33418-4_72 CrossRef Hoffmann M, Brost A, Jakob C, Bourier F, Koch M, Kurzidim K, Hornegger J, Strobel N (2012) Semi-automatic catheter reconstruction from two views. In: Proceedings of the 15th international conference on medical image computing and computer-assisted intervention - Part II, pp 584–591 . https://​doi.​org/​10.​1007/​978-3-642-33418-4_​72 CrossRef
17.
20.
go back to reference Lessard S, Kauffmann C, Pfister M, Cloutier G, Therasse E, de Guise JA, Soulez G (2015) Automatic detection of selective arterial devices for advanced visualization during abdominal aortic aneurysm endovascular repair. Med Eng Phys 37(10):979–986CrossRef Lessard S, Kauffmann C, Pfister M, Cloutier G, Therasse E, de Guise JA, Soulez G (2015) Automatic detection of selective arterial devices for advanced visualization during abdominal aortic aneurysm endovascular repair. Med Eng Phys 37(10):979–986CrossRef
21.
go back to reference Mastmeyer A, Pernelle G, Barber, L, Pieper S, Fortmeier D, Wells S, Handels H, Kapur T (2017) Model-based catheter segmentation in MRI-images. In: MICCAI workshop on interactive medical image computing, IMIC 2015, 18th international conference on medical image computing and computer-assisted intervention—MICCAI 2015 Mastmeyer A, Pernelle G, Barber, L, Pieper S, Fortmeier D, Wells S, Handels H, Kapur T (2017) Model-based catheter segmentation in MRI-images. In: MICCAI workshop on interactive medical image computing, IMIC 2015, 18th international conference on medical image computing and computer-assisted intervention—MICCAI 2015
23.
go back to reference Mehrtash A, Ghafoorian M, Pernelle G, Ziaei A, Heslinga FG, Tuncali K, Fedorov A, Kikinis R, Tempany CM, Wells WM, Abolmaesumi P, Kapur T (2019) Automatic needle segmentation and localization in MRI with 3-D convolutional neural networks: application to MRI-targeted prostate biopsy. IEEE Trans Med Imaging 38(4):1026–1036. https://doi.org/10.1109/TMI.2018.2876796 CrossRefPubMed Mehrtash A, Ghafoorian M, Pernelle G, Ziaei A, Heslinga FG, Tuncali K, Fedorov A, Kikinis R, Tempany CM, Wells WM, Abolmaesumi P, Kapur T (2019) Automatic needle segmentation and localization in MRI with 3-D convolutional neural networks: application to MRI-targeted prostate biopsy. IEEE Trans Med Imaging 38(4):1026–1036. https://​doi.​org/​10.​1109/​TMI.​2018.​2876796 CrossRefPubMed
25.
go back to reference Panuccio G, Torsello GF, Pfister M, Bisdas T, Bosiers M, Torsello G, Austermann M (2016) Computer-aided endovascular aortic repair using fully automated two- and three-dimensional fusion imaging. J Vasc Surg 64:1587–1594CrossRef Panuccio G, Torsello GF, Pfister M, Bisdas T, Bosiers M, Torsello G, Austermann M (2016) Computer-aided endovascular aortic repair using fully automated two- and three-dimensional fusion imaging. J Vasc Surg 64:1587–1594CrossRef
30.
go back to reference Tacher V, Lin M, Desgranges P, Deux JF, Grünhagen T, Becquemin JP, Luciani A, Rahmouni A, Kobeiter H (2013) Image guidance for endovascular repair of complex aortic aneurysms: comparison of two-dimensional and three-dimensional angiography and image fusion. J Vasc Interv Radiol 24(11):1698–1706CrossRef Tacher V, Lin M, Desgranges P, Deux JF, Grünhagen T, Becquemin JP, Luciani A, Rahmouni A, Kobeiter H (2013) Image guidance for endovascular repair of complex aortic aneurysms: comparison of two-dimensional and three-dimensional angiography and image fusion. J Vasc Interv Radiol 24(11):1698–1706CrossRef
31.
go back to reference Toth D, Pfister M, Maier A, Kowarschik M, Hornegger J (2015) Adaption of 3D models to 2D X-ray images during endovascular abdominal aneurysm repair. In: MICCAI 2015: 18th international conference, proceedings, Part I, pp 339–346 Toth D, Pfister M, Maier A, Kowarschik M, Hornegger J (2015) Adaption of 3D models to 2D X-ray images during endovascular abdominal aneurysm repair. In: MICCAI 2015: 18th international conference, proceedings, Part I, pp 339–346
Metadata
Title
Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair
Authors
Katharina Breininger
Moritz Hanika
Mareike Weule
Markus Kowarschik
Marcus Pfister
Andreas Maier
Publication date
01-11-2019
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 11/2019
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-02052-7

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