Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors

Medical Image Analysis

Volumn 26, Issue 1, 2015, Pages 1-18

  Kada, Toshiyuki ^a   Linguraru, Marius George ^b,c   Hori, Masatoshi ^d   Summers, Ronald M ^e   Tomiyama, Noriyuki ^d   Sato, Yoshinobu ^f  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^c GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

^d OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

^f NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Computational anatomy; Partial least squares regression; Probabilistic atlas; Statistical shape model; Subject specific priors

Indexed keywords

BIOLOGICAL ORGANS; FORECASTING; IMAGE SEGMENTATION; LEAST SQUARES APPROXIMATIONS; LOCATION;

COMPUTATIONAL ANATOMY; PARTIAL LEAST SQUARES REGRESSION; PROBABILISTIC ATLAS; STATISTICAL SHAPE MODEL; SUBJECT-SPECIFIC;

COMPUTERIZED TOMOGRAPHY;

ABDOMEN; AORTA; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONCEPTUAL FRAMEWORK; GALLBLADDER; HUMAN; INFERIOR CAVA VEIN; KIDNEY; LIVER; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; PANCREAS; PRIORITY JOURNAL; SPLEEN; ABDOMINAL RADIOGRAPHY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; IMAGE ENHANCEMENT; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; UNSUPERVISED MACHINE LEARNING; VISCERA; X-RAY COMPUTED TOMOGRAPHY;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; UNSUPERVISED MACHINE LEARNING; VISCERA;

EID: 84939436722     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2015.06.009     Document Type: Article

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