Color-appearance-model based fusion of gray and pseudo-color images for medical applications

摘要: Fusion of gray and pseudo-color images presents more information biological tissues in a single image facilitates the interpretation multimodalities medical practice. However, fused results are hampered by problems blurred details, faded color artifact contours. This paper reports method to solve precisely predicting attributes perception using appearance model International Commission on Illumination published 2002 (CIECAM02). First, rainbow palette is generated from attributes. It uniform lightness, thus valuable can be totally sealed its chromatic properties. Then fusion process carried out with adjustment lightness. Here, predicted hue saturation merged lightness one. Therefore, two original exists separately achromatic properties resulting image. Based different spaces (CSs) models (CAMs), aggregations available for displaying presented compared. The aggregation based CIECAM02 exhibited variation hue. Fused simulated lesion breast phantom manifested compromise between scope color. Furthermore, quantitative experiment 49 sets ultrasound strain images, visual fidelity (VIF) was applied assess similarity result sources. revealed superiority proposed over traditional ones including CSs-based methods, transparency technique, alternating display frequency encoding maximum-selection-rule rules. clinical cases demonstrated practicality applications. Besides, feasibility fusing high-resolution structural preliminarily approved MRI data.