DocumentCode :
1550224
Title :
A computer-based method for the assessment of body-image distortions in anorexia-nervosa patients
Author :
Harari, Daniel ; Furst, Miriam ; Kiryati, Nahum ; Caspi, Asaf ; Davidson, Michael
Author_Institution :
Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel
Volume :
5
Issue :
4
fYear :
2001
Firstpage :
311
Lastpage :
319
Abstract :
A computer-based method for the assessment of body-image distortions in anorexia nervosa and other eating-disorder patients is presented in this paper. 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 33 anorexia-nervosa patients, 70% of the subjects chose an image with simulated visual weight gain between 8%-16% as their "real" body image, while only one of them recognized the original body image. In a second experiment involving 30 healthy participants, the quality of the weight modified images was evaluated by pairwise selection trials. Over a weight change range from -16% to +28%, in about 30% of the trials, artificially modified images were mistakenly taken as "original" images, thus demonstrating the quality of the artificial images. The method presented is currently in a clinical validation phase, toward application in the research, diagnosis, evaluation, and treatment of eating disorders.
Keywords :
digital simulation; medical image processing; psychology; anorexia nervosa patients; body image distortion assessment; body shapes; clinical validation phase; cognitive distortion; computer-based method; eating-disorder patients; graphical user interface; lifelike weight changes; realistic pictorial simulation; self-perceived appearance; virtual fattening; virtual slimming; Biomedical image processing; Biomedical measurements; Computational modeling; Distortion measurement; Graphical user interfaces; Image recognition; Medical simulation; Pathology; Shape measurement; Size measurement; Agnosia; Algorithms; Anorexia Nervosa; Body Constitution; Body Image; Computer Simulation; Computers; Female; Humans; Image Processing, Computer-Assisted; Models, Anatomic; Weight Gain; Weight Loss;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/4233.966106
Filename :
966106
Link To Document :
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