Paper Info
Title
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm.
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.
Year
DOI
Venue
2016
10.1007/978-3-319-46726-9_16
MICCAI
DocType
Volume
ISSN
Conference
abs/1610.07931
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III. Vol. 9902, pp. 133-141
Citations 
PageRank 
References 
1
0.37
8
Authors
7
Name
Order
Citations
PageRank
Seth Billings1354.93
Ayushi Sinha2246.72
Austin Reiter316413.02
Simon Léonard4518.85
Masaru Ishii514116.84
Hager Gregory D61946159.37
Russell H. Taylor71970438.00