DOI

10.17077/etd.c8d11mr0

Document Type

Thesis

Date of Degree

Summer 2010

Degree Name

MS (Master of Science)

Degree In

Biomedical Engineering

First Advisor

Raghavan, Madhavan L.

First Committee Member

Dove, Edwin

Second Committee Member

Hasan, David

Third Committee Member

Saha, Punam

Fourth Committee Member

Vigmostad, Sarah

Abstract

Cerebral aneurysm formation, growth, and rupture are active areas of investigation in the medical community. To model and test the mechanical processes involved, small aneurysm (< 5 mm) segmentations need to be performed quickly and reliably for large patient populations. In the absence of robust automatic segmentation methods, the Vascular Modeling Toolkit (VMTK) provides scripts for the complex tasks involved in computer-assisted segmentation. Though these tools give researchers a great amount of flexibility, they also make reproduction of results between investigators difficult and unreliable. We introduce a VMTK pipeline protocol that minimizes the user interaction for vessel and aneurysm segmentation and a training method for new users. This protocol allows for decision tree handling for CTA and MRA images. Furthermore, we investigate the variation between two expert users and two novice users for six patients using shape index measures developed by Ma et al. and Raghavan et al.

Keywords

cerebral aneurysms, computer-assisted segmentation, reproducible research, shape indicies, user variation, VMTK

Pages

vii, 91 pages

Bibliography

Includes bibliographical references (pages 85-91).

Copyright

Copyright 2010 David Michael Welch

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