TY - GEN
T1 - Computer-based assessment of body image distortion in anorexia nervosa patients
AU - Harari, Daniel
AU - Furst, Miriam
AU - Kiryati, Nahum
AU - Caspi, Asaf
AU - Davidson, Michael
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.
PY - 2000
Y1 - 2000
N2 - A computer-based method for the assessment of body image distortions in anorexia nervosa and other eating-disordered patients is presented. At the core of the method is a realistic pictorial simulation of lifelike weight-changes, applied to a real source image of the patient. The patients, using a graphical user interface, adjust their body shapes until they meet their self-perceived appearance. Measuring the extent of virtual fattening or slimming of a body with respect to its real shape and size, allows direct, quantitative evaluation of the cognitive distortion in body image. In a preliminary experiment involving 20 anorexia-nervosa patients, 70% of the subjects chose an image with simulated visual weight gain of about 20% as their “real” body image. None of them recognized the original body image, thus demonstrating the quality of the transformed images. The method presented can be applied in the research, diagnosis, evaluation and treatment of eating disorders.
AB - A computer-based method for the assessment of body image distortions in anorexia nervosa and other eating-disordered patients is presented. At the core of the method is a realistic pictorial simulation of lifelike weight-changes, applied to a real source image of the patient. The patients, using a graphical user interface, adjust their body shapes until they meet their self-perceived appearance. Measuring the extent of virtual fattening or slimming of a body with respect to its real shape and size, allows direct, quantitative evaluation of the cognitive distortion in body image. In a preliminary experiment involving 20 anorexia-nervosa patients, 70% of the subjects chose an image with simulated visual weight gain of about 20% as their “real” body image. None of them recognized the original body image, thus demonstrating the quality of the transformed images. The method presented can be applied in the research, diagnosis, evaluation and treatment of eating disorders.
UR - http://www.scopus.com/inward/record.url?scp=84945583036&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-40899-4_79
DO - 10.1007/978-3-540-40899-4_79
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AN - SCOPUS:84945583036
SN - 3540411895
SN - 9783540411895
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 766
EP - 775
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings
A2 - Delp, Scott L.
A2 - DiGoia, Anthony M.
A2 - Jaramaz, Branislav
PB - Springer Verlag
T2 - 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000
Y2 - 11 October 2000 through 14 October 2000
ER -