Subject specific shape modeling with incremental mixture models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6326 LNCS, Issue , 2010, Pages 21-30

  Wang, Lichao ^a   Lekadir, Karim ^a   Ei Hamamsy, Ismail ^b   Yacoub, Magdi ^b   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

Author keywords

Gaussian mixture models; incremental principal component analysis; Statistical shape models; subject specific segmentation

Indexed keywords

ACTIVE SHAPE; ANATOMICAL SHAPE; COMPLEX STRUCTURE; DATA SETS; DENSITY DISTRIBUTIONS; GAUSSIAN MIXTURE MODEL; HYPERTROPHIC CARDIOMYOPATHY; INCREMENTAL PRINCIPAL COMPONENT ANALYSIS; MIXTURE MODEL; MODEL CONSTRUCTION; PATIENT DATASETS; PRINCIPAL COMPONENTS; SHAPE MODELING; STATISTICAL SHAPE MODEL; SUBJECT-SPECIFIC; TRAINING SETS; VERSATILE TOOLS;

AUGMENTED REALITY; IMAGE SEGMENTATION; MEDICAL IMAGING; VIRTUAL REALITY;

PRINCIPAL COMPONENT ANALYSIS;

EID: 78049432846     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15699-1_3     Document Type: Conference Paper

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