Tumor vascular permeability measurement based on color image analysis

Characteristic of microscopy vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular network is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, developing an image processing method to automatically and accurately quantify the vessel is important. We are researching two algorithms here to isolate the pixels that represent the vessels. Each algorithm has a specific role to play in the extraction of the vessels. The first algorithm uses color ratios to segment vessels and the second helps compensate for light balance issues by breaking the image into segments. The preliminary result is promising.