碩士 / 國立臺灣大學 / 機械工程學研究所 / 106 / With a leap of computer technology and medical image, various potential applications are derived. The concept of minimally invasive surgery becomes practical, and medical image navigation system plays an important role in the surgery. However, the navigation system is still not widely applied in the operating room. The complicated operation and high cost are the main factors. This study based on automation is hoped to integrate the navigation system developed into the current surgical procedures and improve the physicians’ practice.
In the previous research results of our laboratory, a mechanical navigation system combined with 3D scanning technology was successfully established to realize the marker-free registration. The relationship between the patient''s position and the image was established by the surface features of the patient''s body. However, the system still needs to be manually operated during the navigation process. The robot needs to be operated neer the patient for 3D scanning measurement. The risk of infection may increase. Also the feature points on the patient need to be manually marked for registration. This procedure is also complicated and time consuming. Furthermore, the 3D scanning cannot be applied to spinal surgery without obvious feature points on the back.
This research focuses on the process automation of a laser-guided mechanical navigation system. This navigation system is combined with the stereo vision system, which can automatically identify the marker. A development of a software including medical image display, automatic registration, puncture path planning, etc has been made. This technology can be equally applied to the intraoperative image equipment. When the patient''s position changes, the relationship between the image and the patient can be quickly reconstructed, and physicians can carry out instant navigation accordingly. Finally, we use the spine model for the error analysis and discus the navigation system developed in this study. The causes of error and future improvement directions are proposed in conclusions.
| Identifer | oai:union.ndltd.org:TW/106NTU05489093 |
| Date | January 2018 |
| Creators | Tzong-Yiing King, 金宗頴 |
| Contributors | 楊宏智 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 64 |
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