Establishment of A Deformable Aorta Model Based on Patient's Chest CT Data

For arch aorta surgery, cardiac surgeons approach to the diseased area with median incision and stemotomy according to the operation plan based on patient's medical images. Even using latest medical diagnosis instruments, however, it is impossible to estimate the shape of aneurysm, so that operation planning plan based on medical images is hard to be perfect. As the mentioned above, cardiac surgeons cannot recognize the statement of patient's aneurysm before operation. Because of difficulty to completely recognize the statement of aneurysm from patient's medical images, operation plan often has to be changed during the operation. Therefore the coauthor cardiac surgeons highly expect a diagnosis support system that enables them to observe the shape of aneurysm from any angle and to virtually palpate it in order to make more safety operation plan. Then this study aims to develop of a diagnosis assistant system by using virtual reality and haptic interface under considering realtime interaction between them.