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MAGNIFYING COLONOSCOPIC FINDINGS BY ADAPTED INDEX OF HEMOGLOBIN ENHANCEMENT IMAGE PROCESSING SYSTEM IN ULCERATIVE COLITIS
Author(s) -
Saitoh Yusuke,
Fujiya Mikihiro,
Watari Jiro,
Kohgo Yutaka
Publication year - 2002
Publication title -
digestive endoscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.5
H-Index - 56
eISSN - 1443-1661
pISSN - 0915-5635
DOI - 10.1046/j.1443-1661.14.s1.5.x
Subject(s) - ulcerative colitis , medicine , artificial intelligence , colonoscopy , image processing , computer vision , image (mathematics) , computer science , colorectal cancer , cancer , disease
In order to elucidate whether the adapted index of hemoglobin (IHb) enhancement image processing system is useful in the evaluation of ulcerative colitis, we retrospectively compared the conventional and adapted IHb processed images in a total of 109 images. These were composed of 49 conventional and 60 magnifying images in 26 patients with ulcerative colitis (UC). Using the adapted IHb enhancement image processing system, 15 of 26 cases (55 of 109 images) were judged as ‘informative’ and the others (11 of 26 cases; 54 of 109 images) were judged as ‘not informative’. On further analysis, almost all the images judged as ‘informative’ by adapted IHb enhancement enabled the easily detection of the enhanced capillary or transparencies of submucosal vessels with the combination use of magnifying colonoscopy. The major reason an image was judged as ‘not informative’ were too much halation, too much contrast and no differences between processed images and the original ones. Further prospective analysis will be required in the evaluation of adapted IHb color enhancement image processing system in the evaluation of UC.