Book chapter
Segmentation and interpretation of MR brain images using an improved knowledge-based active shape model
Information Processing in Medical Imaging, pp.375-380
Lecture Notes in Computer Science, Springer Berlin Heidelberg
06/03/2005
DOI: 10.1007/3-540-63046-5_29
Abstract
An improvement of the Active Shape procedure introduced by Cootes and Taylor is presented. The new automated brain segmentation and interpretation approach incorporates a priori knowledge about neuroanatomic structures and their specific structural relationships to provide robust segmentation and labeling.
The method was trained in 8 MR brain images and tested in 19 brain images by comparison to observer-defined independent standards. Neuroanatomic structures in all images from the test set were successfully identified. The presented method is applicable to virtually any task involving deformable shape analysis.
Details
- Title: Subtitle
- Segmentation and interpretation of MR brain images using an improved knowledge-based active shape model
- Creators
- Nicolae Duta - University of IowaMilan Sonka - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Information Processing in Medical Imaging, pp.375-380
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/3-540-63046-5_29
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Language
- English
- Date published
- 06/03/2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186694602771
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