Motion Estimation by Respiratory Surrogated Signals for Liver Tumor Tracking

• Main Authors: Yu-Chien Chen, 陳有建
• Other Authors: Yung-Yaw Chen
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/99580313142091074699

碩士 === 國立臺灣大學 === 生醫電子與資訊學研究所 === 99 === As the research in recent years, High Intensity Focused Ultrasound (HIFU) is considered a promising technology for the treatment of tumors in broad variety of organs. Compared with other ways of treatment, the characteristic of HIFU treatment is non-invasive with low side-effect. An injury on normal tissue might happen due to the periodic motion of tumors induced by respiration during treatment. Because the movement of organs makes the HIFU system unable to focus on the target, heating treatment of liver tumor requires focus allocations in real time. This study is developing a prototype of a real-time surrogated marker guidance system for liver tumor ablation by HIFU. The liver position is estimated by using the surrogated signals, and an animal experiment has verified the feasibility. The estimation error is less than 0.4mm in the animal experiment. In the other hand, a servo platform is designed to control the focal point of HIFU mechanically. A heating experiment has applied to demonstrate the feasibility of the servo platform and surrogated marker guidance system. The average errors of estimation have a linear relationship with the location errors of lesion. The location error of lesion is less than 1.4mm in the heating experiment. Our research can provide information towards the development of a precise treatment for mobile tumors.