| Summary: | 碩士 === 中臺科技大學 === 醫學影像暨放射科學系暨研究所 === 100 === The principle of Direct Machine Parameters Optimization (DMPO) is to compose the leaf position and dose weight from a number of segments in inverse treatment planning algorithm, eliminating the leaf sequencing steps in optimization process. The purpose of this study was to compare the two optimization methods, Intensity Modulation (IM) and Direct Machine Parameters Optimization, in static IMRT planning for prostate cancer. Paired samples t-test statistical method was used in calculated results. We found DMPO had the better deliver efficiency for treatment planning. And further, we adjusted the parameters of the both algorithms to evaluate and modify the intensity level in IM and max number segments in DMPO, the results indicated the significant correlation between the minimum area and minimum MU of segment to the plan deliver efficiency and quality. The optimized parameters setting will approach the ideal treatment plan, and provide the important information in planning implementation for our institution.
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