Albert Y. Huang

Image-guided simulation of tissue deformation using a mechanical model on a surgical application

Abstract This paper presents a method for localizing the position of a liver and a tumor within the tissue during a minimally invasive liver operation. From pre-operative CT scans, the liver volume and its internal structures are segmented using image-processing techniques. Based on these segmentations, a three-dimensional mechanical model is built to compute the liver volume and internal structure displacement under boundary conditions such as external forces from the surgical instrument. This can help the surgeon understand the motion of internal structures when manipulating the liver. To validate our method, an experiment on a porcine liver explant was performed to assess the difference between actual tissue motion and the mechanical model.

The SmartOR: A Distributed Sensor Network to Improve Operating Room (OR) Efficiency

Marty Zdichavsky, MD, Martina Guthoff, MD, Nils Heyne, MD, Pranjal Modi, MD, Jessica Lange, MD, Alfred Konigsrainer, MD, Silvio Nadalin, MD, Department of General, Visceral and Transplant Surgery, University Hospital Tubingen, Department of Internal Medicine, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tubingen, Department of Urology, Dr. HL Trivedi Institute of Transplantation Sciences, Asarwa, Ahmedabad, Gujarat, India