Yi-Yu Shih1, Jia-Shuo Hsu2,
Yi-Ru Lin3, Shang-Yueh Tsai4, Hsiao-Wen Chung1,2
1Department of Electrical
Engineering, National Taiwan University, Taipei, Taiwan; 2Graduate
Institute of Biomedical Electronics & Bioinformatics, National Taiwan
University, Taipei, Taiwan; 3Department of Electronic Engineering,
National Taiwan University of Science & Technology, Taipei, Taiwan; 4Department
of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan
k-t PCA was used to reconstruct the dynamic 3D lung images under various accelerating conditions. The effects of the number of principal components (PC) were investigated, where the number of PC required was found to larger than in cardiac imaging due to the higher complexity of the branching pulmonary vasculature. The time-intensity curves showed very good consistency with the full-sampled data-set, and the overshoot resulting from temporal discontinuity at the beginning and the end of the curves was mildened, suggesting feasibility of accelerated 3D lung perfusion imaging with better slice coverage and improved temporal resolution.