Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+pose model

IEEE Transactions on Medical Imaging

Volumn 32, Issue 10, 2013, Pages 1890-1900

  Rasoulian, Abtin ^a   Rohling, Robert ^a   Abolmaesumi, Purang ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Computed tomography (CT); Multi vertebrae anatomical model; Registration; Segmentation; Spinal intervention; Statistical shape+pose model

Indexed keywords

ANATOMICAL MODELING; IMAGE-GUIDED INTERVENTION; POSE MODELS; REGISTRATION; SEGMENTATION TECHNIQUES; SPINAL INTERVENTION; STATISTICAL CHARACTERISTICS; STATISTICAL MODELING;

COMPUTERIZED TOMOGRAPHY; MUSCULOSKELETAL SYSTEM; NEEDLES; STATISTICS;

IMAGE SEGMENTATION;

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; IMAGE ANALYSIS; LUMBAR SPINE; LUMBAR VERTEBRA; MATHEMATICAL MODEL; REGISTRATION; SPINAL NEEDLE; VALIDATION PROCESS;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUMBAR VERTEBRAE; MODELS, STATISTICAL; POSTURE; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84885136637     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2268424     Document Type: Article

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