Automatic scoliosis detection based on local centroids evaluation on moiré topographic images of human backs

IEEE Transactions on Medical Imaging

Volumn 20, Issue 12, 2001, Pages 1314-1320

  Kim, Hyoung Seop ^a,b   Ishikawa, Seiji ^a,b   Ohtsuka, Yoshinori ^c   Shimizu, Hisashi ^d   Shinomiya, Takashi ^e   Viergever, Max A ^a,f  

^a IEEE   (Japan)

^b KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^c National Sanatorium Chiba Higashi Hospital   (Japan)

^d Chiba Health Care Association   (Japan)

^e Nikon Digital Technologies Co Ltd   (Japan)

^f UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Linear discriminant functions; Moir images; Potential symmetry; Scoliosis; Spinal deformity

Indexed keywords

AUTOMATIC SCOLIOSIS DETECTION; LINEAR DISCRIMINANT FUNCTION; LOCAL CENTROID EVALUATION; MAHALANOBIS DISTANCE; MOIRE IMAGE; POTENTIAL SYMMETRY; SPINAL DEFORMITY;

COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; ORTHOPEDICS; THREE DIMENSIONAL; TWO DIMENSIONAL;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; AUTOMATION; BACK; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE PROCESSING; INTERFEROMETRY; METHODOLOGY; PATHOLOGY; PATHOPHYSIOLOGY; SCOLIOSIS; SPINE;

ALGORITHMS; AUTOMATION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; LUMBOSACRAL REGION; MOIRE TOPOGRAPHY; PATTERN RECOGNITION, AUTOMATED; SCOLIOSIS; SPINE;

EID: 0035544617     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.974926     Document Type: Article

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