Hyperspectral Image segmentation and its application in abdominal surgery

Abstract

The anatomical variations and unpredictable nature of surgeries make the visibility very important, especially to correctly diagnose problems intraoperatively. In this paper, hyperspectral imaging is proposed as a visual supporting tool to detect different organs and tissues during surgeries. This technique can aid the surgeon to find ectopic tissues and to diagnose tissue abnormalities. Two cameras were used to capture images within 400-1700 nm spectral range. The high-dimensional data were classified using a Support Vector Machine (SVM). This method was evaluated for the detection of the spleen, colon, small intestine, urinary bladder and peritoneum in abdominal surgeries on pigs.