Name
Abstract | ||
|---|---|---|
Clinical examinations that involve endoscopic exploration of the nasal cavity and sinuses often do not have a reference image to provide structural context to the clinician. In this paper, we present a system for navigation during clinical endoscopic exploration in the absence of computed tomography (CT) scans by making use of shape statistics from past CT scans. Using a deformable registration algorithm along with dense reconstructions from video, we show that we are able to achieve submillimeter registrations in in-vivo clinical data and are able to assign confidence to these registrations using confidence criteria established using simulated data. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-00937-3_8 | Lecture Notes in Computer Science |
DocType | Volume | ISSN |
Conference | 11073 | 0302-9743 |
Citations | PageRank | References |
2 | 0.40 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayushi Sinha | 1 | 24 | 6.72 |
| Xingtong Liu | 2 | 13 | 5.02 |
| Austin Reiter | 3 | 164 | 13.02 |
| Masaru Ishii | 4 | 141 | 16.84 |
| Hager Gregory D | 5 | 1946 | 159.37 |
| Russell H. Taylor | 6 | 1970 | 438.00 |