Automatic liver segmentation using a statistical shape model with optimal surface detection

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 10 PART 2, 2010, Pages 2622-2626

  Zhang, Xing ^a   Tian, Jie ^a   Deng, Kexin ^b   Wu, Yongfang ^a   Li, Xiuli ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b XIDIAN UNIVERSITY   (China)

Author keywords

Generalized Hough transform (GHT); Liver segmentation; Minimum s t cut; Principal component analysis (PCA); Statistical shape model (SSM)

Indexed keywords

GENERALIZED HOUGH TRANSFORM; LIVER SEGMENTATION; MINIMUM S-T CUT; PRINCIPAL COMPONENT ANALYSIS (PCA); STATISTICAL SHAPE MODEL;

COMPUTERIZED TOMOGRAPHY; GRAPH THEORY; HOUGH TRANSFORMS; LIVER; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

THREE DIMENSIONAL;

ARTICLE; COMPUTED TOMOGRAPHY SCANNER; HUMAN; IMAGE ANALYSIS; LIVER; MATHEMATICAL ANALYSIS; STATISTICAL ANALYSIS;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77956923514     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2056369     Document Type: Article

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