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.
Similar content being viewed by others
References
Abi-Jaoudeh N, Kruecker J, Kadoury S, Kobeiter H, Venkatesan AM, Levy E, Wood BJ (2012) Multimodality image fusion-guided procedures: technique, accuracy, and applications. Cardiovasc Interv Radiol 35(5):986–998. https://doi.org/10.1007/s00270-012-0446-5
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
Baert SAM, van de Kraats EB, van Walsum T, Viergever MA, Niessen WJ (2003) Three-dimensional guide-wire reconstruction from biplane image sequences for integrated display in 3-D vasculature. IEEE Trans Med Imaging 22(10):1252–1258. https://doi.org/10.1109/TMI.2003.817791
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 981–989
Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, Berlin
Breininger K, Albarqouni S, Kurzendorfer T, Pfister M, Kowarschik M, Maier A (2018) Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. Int J Comput Assist Radiol Sur. https://doi.org/10.1007/s11548-018-1779-6
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, 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, 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 19–27
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 386–393
Dijkstra ML, Eagleton MJ, Greenberg RK, Mastracci T, Hernandez A (2011) Intraoperative C-arm cone-beam computed tomography in fenestrated/branched aortic endografting. J Vasc Surg 53(3):583–590. https://doi.org/10.1016/j.jvs.2010.09.039
Dubuisson M, Jain AK (1994) A modified Hausdorff distance for object matching. In: Proceedings of 12th international conference on pattern recognition 1:566–568. https://doi.org/10.1109/ICPR.1994.576361
Gindre J, Bel-Brunon A, Rochette M, Lucas A, Kaladji A, Haigron P, Combescure A (2017) Patient-specific finite-element simulation of the insertion of guidewire during an EVAR procedure: guidewire position prediction validation on 28 cases. IEEE Trans Biomed Eng 64(5):1057–1066. https://doi.org/10.1109/TBME.2016.2587362
Glöckler M, Halbfaß J, Koch A, Achenbach S, Dittrich S (2013) Multimodality 3D-roadmap for cardiovascular interventions in congenital heart disease—a single-center, retrospective analysis of 78 cases. Catheter Cardiovasc Interv 82(3):436–442. https://doi.org/10.1002/ccd.24646
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
Hoffmann M, Brost A, Jakob C, Koch M, Bourier F, Kurzidim K, Hornegger J, Strobel N (2013)Reconstruction method for curvilinear structures from two views. pp 86712F–86712F–8 . https://doi.org/10.1117/12.2006346
Kaladji A, Dumenil A, Castro M, Cardon A, Becquemin JP, Bou-Saïd B, Lucas A, Haigron P (2013) Prediction of deformations during endovascular aortic aneurysm repair using finite element simulation. Comput Med Imaging Gr 37(2):142–149. https://doi.org/10.1016/j.compmedimag.2013.03.002 Special Issue on Mixed Reality Guidance of Therapy—Towards Clinical Implementation
Kauffmann C, Douane F, Therasse E, Lessard S, Elkouri S, Gilbert P, Beaudoin N, Pfister M, Blair JF, Soulez G (2015) Source of errors and accuracy of a two-dimensional/three-dimensional fusion road map for endovascular aneurysm repair of abdominal aortic aneurysm. J Vasc Interv Radiol 26(4):544–551. https://doi.org/10.1016/j.jvir.2014.12.019
Koutouzi G, Pfister M, Breininger K, Hellström M, Roos H, Falkenberg M (2019) Iliac artery deformation during EVAR. Vascular 1708538119840565. https://doi.org/10.1177/1708538119840565 PMID: 30917751
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):979–986
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, Ma R, Barber L, Kapur T (2017) Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images. Med Image Anal 42:173–188. https://doi.org/10.1016/j.media.2017.06.011
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
Mohammadi H, Lessard S, Therasse E, Mongrain R, Soulez G (2018) A numerical preoperative planning model to predict arterial deformations in endovascular aortic aneurysm repair. Ann Biomed Eng 46(12):2148–2161. https://doi.org/10.1007/s10439-018-2093-8
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 64:1587–1594
Petković T, Homan R, Lončarić S (2014) Real-time 3D position reconstruction of guidewire for monoplane X-ray. Comput Med Imaging Gr 38(3):211–223. https://doi.org/10.1016/j.compmedimag.2013.12.006
Pourtaherian A, Ghazvinian Zanjani F, Zinger S, Mihajlovic N, Ng GC, Korsten HHM, de With PHN (2018) Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks. Int J Comput Assist Radiol Surg 13(9):1321–1333. https://doi.org/10.1007/s11548-018-1798-3
Rossitti S, Pfister M (2009) 3D road-mapping in the endovascular treatment of cerebral aneurysms and arteriovenous malformations. Interv Neuroradiol 15(3):283–290. https://doi.org/10.1177/159101990901500305 PMID: 20465911
Schulz CJ, Schmitt M, Böckler D, Geisbüsch P (2016) Fusion imaging to support endovascular aneurysm repair using 3D–3D registration. J Endovasc Ther 23(5):791–799. https://doi.org/10.1177/1526602816660327 PMID: 27456083
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):1698–1706
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
van Walsum T, Baert SAM, Niessen WJ (2005) Guide wire reconstruction and visualization in 3DRA using monoplane fluoroscopic imaging. IEEE Trans Med Imaging 24(5):612–623. https://doi.org/10.1109/TMI.2005.844073
Acknowledgements
We thank Dr. Giasemi Koutouzi and Dr. Mårten Falkenberg from Sahlgrenska University Hospital, Gothenburg, Sweden, for providing the data and the registration of intraoperative and preoperative scans.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
A. Maier has no conflict of interest to declare. K. Breininger is funded by Siemens Healthcare GmbH. M. Weule and M. Hanika were working students employed by Siemens Healthcare GmbH at the time of this study. M. Pfister and M. Kowarschik are employees of Siemens Healthcare GmbH.
Ethical approval
This study has been performed retrospectively. For this type of study formal consent is not required.
Informed consent
Informed consent was obtained from all individual participants included in the original study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Disclaimer: The methods and information presented in this work are based on research and are not commercially available.
Rights and permissions
About this article
Cite this article
Breininger, K., Hanika, M., Weule, M. et al. Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. Int J CARS 14, 1891–1899 (2019). https://doi.org/10.1007/s11548-019-02052-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11548-019-02052-7