A novel 3D partitioned active shape model for segmentation of brain MR images

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

Volumn 3749 LNCS, Issue , 2005, Pages 221-228

  Zhao, Zheen ^a,b   Aylward, Stephen R ^a   Teoh, Earn Khwang ^b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; DEFORMATION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; NEUROLOGY; THREE DIMENSIONAL;

3D SEGMENTATION; ACTIVE SHAPE MODELS (ASM); PARTITIONED ACTIVE SHAPE MODEL (PASM); SHAPE VARIABILITY;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744796277     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_28     Document Type: Conference Paper

References (5)

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4. available at http://neuro www.mgh.harvard.edu/cma/ibsr: (The internet brain segmentation repository (ibsr))
5. Zhao, Z., Teoh, E.K.: A novel framework for automated 3D PDM construction using deformable models. In: Proc. Medical Imaging 2005: Image Processing, Proceedings of SPIE 2005 (SPIE MI 05) (in press). (2005)