Classification of chronic venous diseases based on skin temperature patterns

Abstract Objective . Infrared thermography has the potential to complement classification of chronic venous diseases (CVD), but lacks sophisticated insights on association between recorded skin temperatures and severity CVD. This research aims identify temperature patterns in lower legs patients that are distinct specific forms CVD, including florid ulcers. Approach images were acquired a clinical trial with 36 segmented using region selection algorithm. The regions analyzed respect seven predefined features. most prominent thermal features translated into rules classify Main results Patients mild CVD show local increases by more than 1.5 °C. These 2.0 °C warmer when is severe. Temperature variations average 0.4 occurred within leg Furthermore, these wounds 1.1 °C–6.3 colder periwound skin. Significance characterized differences occur few centimeters or millimeters stages present locations varicose veins tissue damages. findings increase body knowledge for early detection infrared thermography. Applying presented algorithms rules, may become complementary tool objective