| Summary: | 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 101 === Routine diagnosis of brain diseases using MRI mostly bases on magnitude and phase images. However, it has been known that image changes with the orientation of patient in the magnet and may become a confounding factor in clinical diagnosis. Through dipole model deconvolution, Quantitative Susceptibility Mapping (QSM) reduces the orientation dependence and achieves tissue susceptibility quantification. QSM potentially serves as a biomarker of disease. However, because QSM involves in many steps, the aim of this study was to investigate the accuracy and reproducibility of QSM. Numerical phantom simulation and phantom experiment were performed for accuracy study. In addition, QSM reproducibility was investigated with human subject study at 3 Tesla. Our results indicate that QSM is capable of accurate susceptibility quantification, which is of high potential for assessing neuronal diseases.
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