CAJ | 학술논문

对敏感性编码的磁共振成像并行重建方案进行了研究，实现了非笛卡尔采样 k空间轨迹分析。在敏感图像信息中，由接收器线圈阵列采集的螺旋 k空间数据被应用到欠采样数据集中以重构建无混叠重建图像。此外，由于网格算法具有前向估值和非正交采样数据伴随运算能力，被用来实现敏感性编码重建图像。研究发现，敏感性编码可减少用于磁共振成像实验的扫描时间，同时保持与下采样数据集的图像分辨率。最后，利用真实数据组计算验证了敏感性编码的性能，并分析了进一步提高计算速度的方法。
대민감성편마적자공진성상병행중건방안진행료연구，실현료비적잡이채양 k공간궤적분석。재민감도상신식중，유접수기선권진렬채집적라선 k공간수거피응용도흠채양수거집중이중구건무혼첩중건도상。차외，유우망격산법구유전향고치화비정교채양수거반수운산능력，피용래실현민감성편마중건도상。연구발현，민감성편마가감소용우자공진성상실험적소묘시간，동시보지여하채양수거집적도상분변솔。최후，이용진실수거조계산험증료민감성편마적성능，병분석료진일보제고계산속도적방법。
The sensitivity encoding (SENSE) parallel reconstruction scheme for magnetic reso‐nance imaging (MRI) was studied and implemented with non‐Cartesian sampled k‐space trajecto‐ries in this report .The sensitivity map profile ,field map information and the spiral k‐space data collected from an array of receiver coils were used to reconstruct un‐aliased images from under‐sampled data .The gridding algorithm was also implemented with SENSE due to its ability in e‐valuating forward and adjoins operator with non‐Cartesian sampled data .SENSE has the special capability to reduce the scanning time for M RI experiments w hile maintaining the image resolu‐tion with under‐sampling data sets .We also analyzed the performance of SENSE with real data set and identified the computational issues that need to be improved for further research .