3D adaptive model-based segmentation of human vessels

Stefan Wörz; Karl Rohr

doi:10.1117/12.709286

29 March 2007 3D adaptive model-based segmentation of human vessels

Stefan Wörz, Karl Rohr

Proceedings Volume 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images; 65110Q (2007) https://doi.org/10.1117/12.709286
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

We introduce an adaptive model fitting approach for the segmentation of vessels from 3D tomographic images. With this approach the shape and size of the 3D region-of-interest (ROI) used for model fitting are automatically adapted to the local width, curvature, and orientation of a vessel to increase the robustness and accuracy. The approach uses a 3D cylindrical model and has been successfully applied to segment human vessels from 3D MRA image data. Our experiments show that the new adaptive scheme yields superior segmentation results in comparison to using a fixed size ROI. Moreover, a validation of the approach based on ground-truth provided by a radiologist confirms its accuracy. In addition, we also performed an experimental comparison of the new approach with a previous scheme.

Citation Download Citation

Stefan Wörz and Karl Rohr "3D adaptive model-based segmentation of human vessels", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65110Q (29 March 2007); https://doi.org/10.1117/12.709286

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available