shiun-ying Ju1, Yu-Wei Tang1, Teng-Yi Huang1, Hsu-Hsia Peng2
1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan; 2Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua university, Hsinchu, Taiwan
The MR flow quantification of the vessels can be used to evaluate the response of the vessel-related surgeries. However, for the conventional longitudinal studies of blood flow, manual slice selection in different days can cause measurement variation and thus degrade the accuracy of evaluation. In our study, in order to solve this problem, an automatic slice positioning method combined with previously implemented automatic ROI selection method were proposed to reduce the inter-scan variation. Furthermore, GPU-accelerated computation was applied to speed up the image registration. The flow variation of the human study was reported.