Authors: Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Naofumi Tanaka
Addresses: Department of Mechano-Micro Engineering, Tokyo Institute of Technology, G2-16, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan. ' Department of Mechano-Micro Engineering, Tokyo Institute of Technology, G2-16, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan. ' Gastrointestinal Surgery Department, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan. ' Operation Center University Hospital of Medicine, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8519, Japan
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.
Keywords: hyperspectral image segmentation; abdominal organ segmentation; HSI; hyperspectral image; medical imaging; tissue detection; spectrophotometry; abdominal surgery; intraoperative diagnosis; ectopic tissues; tissue abnormalities; support vector machines; SVM; spleen; colon; small intestine; urinary bladder; peritoneum.
International Journal of Functional Informatics and Personalised Medicine, 2009 Vol.2 No.2, pp.201 - 216
Published online: 02 Aug 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article