Texture analysis for automatic segmentation of intervertebral disks of scoliotic spines from MR images

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 4, 2009, Pages 608-620

  Chevrefils, Claudia ^a,b   Cheriet, Farida ^a,b   Aubin, Carl Éric ^a,b   Grimard, Guy ^b  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b UNIVERSITY OF MONTREAL   (Canada)

Author keywords

Classification; MRI; Segmentation; Texture features

Indexed keywords

ACQUISITION PROTOCOLS; AUTOMATIC SEGMENTATIONS; CLASSIFICATION; CLUSTERING PROCESS; DATA IMAGES; FAST IMAGING; FEATURE SELECTION; IMAGE SEQUENCE; INTERVERTEBRAL DISK; K-NEAREST NEIGHBORS; MR IMAGES; MR SEQUENCE; MRI; OVER SEGMENTATION; SAGITTAL PLANE; SEGMENTATION; SPIN ECHO; STEADY STATE; TEXTURE ANALYSIS; TEXTURE FEATURES; UNIFIED FRAMEWORK;

CARTILAGE; CLUSTERING ALGORITHMS; DISKS (MACHINE COMPONENTS); DISKS (STRUCTURAL COMPONENTS); PRINCIPAL COMPONENT ANALYSIS; TEXTURES; THREE DIMENSIONAL;

CLASSIFICATION (OF INFORMATION);

ARTICLE; HISTOLOGY; HUMAN; IMAGE PROCESSING; INTERVERTEBRAL DISK; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; SCOLIOSIS; SPINE; STATISTICAL MODEL;

HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERVERTEBRAL DISK; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; SCOLIOSIS; SPINE;

EID: 67749120852     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2018286     Document Type: Conference Paper

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