A deformable-model approach to semi-automatic segmentation of CT images demonstrated by application to the spinal canal

Medical Physics

Volumn 31, Issue 2, 2004, Pages 251-263

  Burnett, Stuart S C ^a   Starkschall, George ^a   Stevens, Craig W ^a   Liao, Zhongxing ^a  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMATION; EDGE DETECTION; HYDRAULIC STRUCTURES; IMAGE SEGMENTATION; TISSUE;

ALGORITHM'S PERFORMANCE; DEFORMABLE MODELING; DEFORMABLE TEMPLATES; FOURIER DESCRIPTORS; RADIATION ONCOLOGISTS; RADIATION TREATMENT PLANNING; ROBUST SEGMENTATION; SEMI-AUTOMATIC SEGMENTATION;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATION; COMPUTER ASSISTED TOMOGRAPHY; MODEL; PRIORITY JOURNAL; RADIATION DOSE DISTRIBUTION; SOFT TISSUE; TREATMENT PLANNING; VERTEBRAL CANAL;

EID: 1242316316     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1634483     Document Type: Article

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