作者: Carmen Gómez Martín , Gorka Martínez Grau
DOI: 10.1111/SRT.12997
关键词: Bruise 、 Visual examination 、 Computer science 、 Medical physics 、 Image processing 、 Post surgical 、 Objective method
摘要: PURPOSE To develop, through ImageJ, an automated, non-invasive, objective method to analyze images of bruises that allowed quantifying variation in its size overtime for later use clinical trials. METHODS The ImageJ software was used create automated macros were executed on 38 the untreated eyes 19 patients participated a post-marketing, randomized, controlled trial assessed efficacy cream reduce post-blepharoplasty minor hematomas. Three image processing systems with created ImageJ: RGB, RGB2, and HSB. area percentage reduction estimated each one. Ophthalmologists also reviewed photographs by direct visual examination. RESULTS All three useful identifying bruise studying over time. RGB2 results most consistent examination conducted ophthalmologists. CONCLUSION RGB2-automated considered appropriate analysis represented advantage other manual techniques. However, it will be necessary test trials studies more significant number samples different locations.