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Proceedings Paper

Automatic segmentation of cortical vessels in pre- and post-tumor resection laser range scan images
Author(s): Siyi Ding; Michael I. Miga; Reid C. Thompson; Ishita Garg; Benoit M. Dawant
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Paper Abstract

Measurement of intra-operative cortical brain movement is necessary to drive mechanical models developed to predict sub-cortical shift. At our institution, this is done with a tracked laser range scanner. This device acquires both 3D range data and 2D photographic images. 3D cortical brain movement can be estimated if 2D photographic images acquired over time can be registered. Previously, we have developed a method, which permits this registration using vessels visible in the images. But, vessel segmentation required the localization of starting and ending points for each vessel segment. Here, we propose a method, which automates the segmentation process further. This method involves several steps: (1) correction of lighting artifacts, (2) vessel enhancement, and (3) vessels' centerline extraction. Result obtained on 5 images obtained in the operating room suggests that our method is robust and is able to segment vessels reliably.

Paper Details

Date Published: 10 March 2009
PDF: 8 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726104 (10 March 2009); doi: 10.1117/12.811702
Show Author Affiliations
Siyi Ding, Vanderbilt Univ. (United States)
Michael I. Miga, Vanderbilt Univ. (United States)
Reid C. Thompson, Vanderbilt Univ. Medical Ctr. (United States)
Ishita Garg, Vanderbilt Univ. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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