Fully automatic segmentation of the Femur from 3D-CT images using primitive shape recognition and statistical shape models

International Journal of Computer Assisted Radiology and Surgery

Volumn 9, Issue 2, 2014, Pages 189-196

  Ben Younes, Lassad ^a   Nakajima, Yoshikazu ^a   Saito, Toki ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

3D femur segmentation; CT image; Hough transform; Primitive shape; RANSAC; Statistical shape models

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BONE MASS; COMPUTER ASSISTED TOMOGRAPHY; DIGITAL IMAGING AND COMMUNICATIONS IN MEDICINE; FEMUR HEAD; FEMUR SHAFT; FULLY AUTOMATIC FEMUR SEGMENTATION; HUMAN; PRIORITY JOURNAL; STATISTICAL MODEL; STATISTICAL SHAPE MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; FEMUR; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84897115296     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-013-0950-3     Document Type: Article

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