Anatomically constrained video-CT registration via the V-IMLOP algorithm

Seth D. Billings; Ayushi Sinha; Austin Reiter; Simon Leonard; Masaru Ishii; Gregory D. Hager; Russell H. Taylor

doi:10.1007/978-3-319-46726-9_16

Anatomically constrained video-CT registration via the V-IMLOP algorithm

Seth D. Billings, Ayushi Sinha, Austin Reiter, Simon Leonard, Masaru Ishii, Gregory D. Hager, Russell H. Taylor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

Functional endoscopic sinus surgery (FESS) is a surgical procedure used to treat acute cases of sinusitis and other sinus diseases. FESS is fast becoming the preferred choice of treatment due to its minimally invasive nature. However,due to the limited field of view of the endoscope,surgeons rely on navigation systems to guide them within the nasal cavity. State of the art navigation systems report registration accuracy of over 1mm,which is large compared to the size of the nasal airways. We present an anatomically constrained video-CT registration algorithm that incorporates multiple video features. Our algorithm is robust in the presence of outliers. We also test our algorithm on simulated and in-vivo data,and test its accuracy against degrading initializations.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
Editors	Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin
Publisher	Springer Verlag
Pages	133-141
Number of pages	9
ISBN (Print)	9783319467252
DOIs	https://doi.org/10.1007/978-3-319-46726-9_16
State	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9902 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-46726-9_16

Cite this

Billings, S. D., Sinha, A., Reiter, A., Leonard, S., Ishii, M., Hager, G. D., & Taylor, R. H. (2016). Anatomically constrained video-CT registration via the V-IMLOP algorithm. In L. Joskowicz, M. R. Sabuncu, W. Wells, G. Unal, & S. Ourselin (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (pp. 133-141). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46726-9_16

Anatomically constrained video-CT registration via the V-IMLOP algorithm. / Billings, Seth D.; Sinha, Ayushi; Reiter, Austin et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. ed. / Leo Joskowicz; Mert R. Sabuncu; William Wells; Gozde Unal; Sebastian Ourselin. Springer Verlag, 2016. p. 133-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Billings, SD, Sinha, A, Reiter, A, Leonard, S, Ishii, M , Hager, GD & Taylor, RH 2016, Anatomically constrained video-CT registration via the V-IMLOP algorithm. in L Joskowicz, MR Sabuncu, W Wells, G Unal & S Ourselin (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9902 LNCS, Springer Verlag, pp. 133-141. https://doi.org/10.1007/978-3-319-46726-9_16

Billings SD, Sinha A, Reiter A, Leonard S, Ishii M , Hager GD et al. Anatomically constrained video-CT registration via the V-IMLOP algorithm. In Joskowicz L, Sabuncu MR, Wells W, Unal G, Ourselin S, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag. 2016. p. 133-141. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46726-9_16

Billings, Seth D. ; Sinha, Ayushi ; Reiter, Austin et al. / Anatomically constrained video-CT registration via the V-IMLOP algorithm. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. editor / Leo Joskowicz ; Mert R. Sabuncu ; William Wells ; Gozde Unal ; Sebastian Ourselin. Springer Verlag, 2016. pp. 133-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Anatomically constrained video-CT registration via the V-IMLOP algorithm

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