Accurate bone segmentation in 2D radiographs using fully automatic shape model matching based on regression-voting

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

Volumn 16, Issue Pt 2, 2013, Pages 181-189

  Lindner, Claudia ^a   Thiagarajah, Shankar ^b   Wilkinson, J Mark ^b   Wallis, Gillian A ^c   Cootest, Tim F ^a   arcOGEN Consortium, ^d  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

^d NONE

Author keywords

bone segmentation; Computational anatomy; Constrained Local Models; Random Forests; statistical shape models

Indexed keywords

DECISION TREES; JOINTS (ANATOMY); MEDICAL IMAGING; RADIOGRAPHY; REGRESSION ANALYSIS;

BONE SEGMENTATION; COMPUTATIONAL ANATOMY; CONSTRAINED LOCAL MODELS; RANDOM FORESTS; STATISTICAL SHAPE MODEL;

BONE;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BONE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; KNEE OSTEOARTHRITIS; METHODOLOGY; RADIOGRAPHY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; X RAY FILM;

ALGORITHMS; BONE AND BONES; COMPUTER SIMULATION; HUMANS; METHODS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; OSTEOARTHRITIS, KNEE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; X-RAY FILM;

EID: 84897574989     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_23     Document Type: Conference Paper

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