Optical coherence tomography endoscope design and complementary image reconstruction techniques for bladder cancer management

Placeholder Show Content

Abstract/Contents

Abstract
Bladder cancer is the most costly cancer to treat as the high rate of recurrence necessitates lifelong surveillance. White light cystoscopy (WLC) — the standard tool used for diagnosis and surveillance — has three limitations, which reduce the effectiveness and efficiency of managing patients with recurrent bladder cancer. First, WLC cannot accurately detect all tumors, causing some to go untreated. Second, WLC cannot gauge the penetration depth of tumors, an important factor for determining the course of treatment. This means that any detected lesions must be biopsied in a more costly and risky follow-up procedure. Third, it is difficult to review cystoscopy images, making it easy to overlook signs of cancer due to workflow challenges or insufficient annotations. To overcome these limitations, I developed novel techniques to improve cystoscopy examinations. Specifically, I developed a miniaturized, rapid-scanning optical coherence tomography (OCT) endoscope that can augment WLC during clinical examinations. OCT is a promising complementary imaging technique whose ability to visualize the subsur- face appearance of the bladder wall reveals early stage tumors better than WLC alone and makes it possible to stage cancers. Additionally, to improve the review of the cystoscopy data, I developed techniques that can enable a more comprehensive review among and be- tween WLC and OCT imaging data. These techniques include (1) a volumetric mosaicing algorithm to extend the field of view of OCT, (2) 3D reconstruction technique to generate models with the shape and appearance of the bladder, and (3) a registration approach that registers OCT data to the 3D bladder model. Taken together, the new OCT endoscope and image reconstruction algorithms I describe can have a substantial impact on the future of cystoscopy.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Lurie, Kristen Louise
Associated with Stanford University, Department of Electrical Engineering.
Primary advisor Bowden, Audrey, 1980-
Thesis advisor Bowden, Audrey, 1980-
Thesis advisor Liao, Joseph
Thesis advisor Solgaard, Olav
Advisor Liao, Joseph
Advisor Solgaard, Olav

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Kristen Louise Lurie.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Kristen Louise Lurie

Also listed in

Loading usage metrics...