| Summary: | 碩士 === 國防大學理工學院 === 光電工程碩士班 === 101 === In this study, we use a long-wavelength Infrared Thermal Imaging System for Coronary Artery Bypass Surgery (CABG). There are four contributions of this research. First, we do the analysis of cardiovascular system and procedure of CABG. Second, the existing profile for instrument of cardiovascular testing, we do analysis of the advantages of time for using thermal image system in CABG. Third, we focus on ratio of thrombosis. We have developed a set of image processing software system for thermal imaging. Final, Requirements Analysis of capture images on the NB by Long-wavelength infrared thermal imaging system, and we do the clinical trial for it.
We focus on four contributions of the aforementioned paragraphs, as will hereinafter be described in detail. The first part aims to investigate the heart, cardiovascular system, distribution of blood vessels on the heart surface, the procedure of CABG, (cardiopulmonary bypass, surgical instruments, medical supplies, the procedure of CABG, bypass graft, perfusion testing, surgical suture, and etc.). According to requirement of physicians in clinical surgery, this study aims of temperature and figures to the best time for capture images on the NB by Long-wavelength infrared thermal imaging system. Digitize the ratio of thrombosis by long-wavelength infrared thermal imaging system replaced palpation and Perfusion testing, and then prevent the thrombosis or bleeding. And thus enhance the success rate of postoperative. In order to quickly calculate the ratio of thrombosis, we figure to a series of thermal image processing. To assist physicians in clinical cardiovascular dynamically learns about the ratio of flow and ratio of thrombosis, and thus reporting digitized results immediately. In order to make sure the thermal image processing system can be trust. In this time we cooperate with Tri-Service General Hospital. We capture images on the NB by Long-wavelength infrared thermal imaging system in CABG, and software verification. The preparation for the image processing system embedded in hardware in the future.
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