Segmentation in virtual colonoscopy using a geometric deformable model

Christopher L. Wyatt; Yaorong Ge; David J. Vining M.D.

doi:10.1117/12.535238

30 April 2004 Segmentation in virtual colonoscopy using a geometric deformable model

Christopher L. Wyatt, Yaorong Ge, David J. Vining M.D.

Proceedings Volume 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images; (2004) https://doi.org/10.1117/12.535238
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

The Geometric Deformable Model is developed for accurate colon lumen segmentation as part of an automatic Virtual Colonoscopy system. The deformable model refines the lumen surface found by an automatic seed location and thresholding procedure. The challenges to applying the deformable model are described, showing the definition of the stopping function as the key to accurate segmentation. The limitations of current stopping criteria are examined and a new definition, tailored to the task of colon segmentation, is given. First, a multiscale edge operator is used to locate high confidence boundaries. These boundaries are then integrated into the stopping function using a distance transform. The hypothesis is that the new stopping function results in a more accurate representation of the lumen surface compared to previous monotonic functions of the gradient magnitude. This hypothesis is tested using observer ratings of colon surface fidelity at 100 hundred randomly selected locations in each of four datasets. The results show that the surfaces determined by the modified deformable model better represent the lumen surface overall.

Citation Download Citation

Christopher L. Wyatt, Yaorong Ge, and David J. Vining M.D. "Segmentation in virtual colonoscopy using a geometric deformable model", Proc. SPIE 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, (30 April 2004); https://doi.org/10.1117/12.535238

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