Computer-based assessment of body image distortion in anorexia nervosa patients

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Abstract

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.

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APA

Harari, D., Furst, M., Kiryati, N., Caspi, A., & Davidson, M. (2000). Computer-based assessment of body image distortion in anorexia nervosa patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1935, pp. 766–775). Springer Verlag. https://doi.org/10.1007/978-3-540-40899-4_79

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