A unified framework for voxel classification and triangulation

John S. H. Baxter; Terry M. Peters; Elvis C. S. Chen

doi:10.1117/12.877715

1 March 2011 A unified framework for voxel classification and triangulation

John S. H. Baxter, Terry M. Peters, Elvis C. S. Chen

Proceedings Volume 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling; 796436 (2011) https://doi.org/10.1117/12.877715
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

A unified framework for voxel classification and triangulation for medical images is presented. Given volumetric data, each voxel is labeled by a two-dimensional classification function based on voxel intensity and gradient. A modified Constrained Elastic Surface Net is integrated into the classification function, allowing the surface mesh to be generated in a single step. The modification to the Constrained Elastic Surface Net includes additional triangulation cases which reduce visual artifacts, and a surface-node relaxation criterion based on linear regression which improves visual appearance and preserves the enclosed volume. By carefully designing the two-dimensional classification function, surface meshes for different anatomical structures can be generated in a single process. This framework is implemented on the GPU, allowing rendition of the voxel classification to be visualized in near real-time.

Citation Download Citation

John S. H. Baxter, Terry M. Peters, and Elvis C. S. Chen "A unified framework for voxel classification and triangulation", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 796436 (1 March 2011); https://doi.org/10.1117/12.877715

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