A statistical 3-D segmentation algorithm for classifying brain tissues in multiple sclerosis

Proceedings of the IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2001, Pages 455-460

  Ge, Zhanyu ^a   Venkatesan, Vikram ^a   Mitra, Sunandra ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANNEALING; COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

MULTIPLE SCLEROSIS (MS);

BRAIN;

EID: 0034865074     PISSN: 10637125     EISSN: None     Source Type: Journal    
DOI: 10.1109/CBMS.2001.941761     Document Type: Article

References (8)

1. Efficient 3D volume segmentation of MR images by a modified deterministic annealing approach
2. An extensible MRI simulator for post-processing evaluation
3. Deterministic annealing for clustering, compression. classification, regression, and related optimization problems
4. Generalized nonconvex optimization for medical image segmentation
5. Automated model-based tissue classification of MR images of the brain
6. Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations: Part II, validation on severely astrophied brains