Ma Ya-Jun, Liu Wentao, Zhao Xuna, Tang Weinan, Zhang Zihao, Tang Xin, Fan Yang, Li Huanjie, Gao Jia-Hong
Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing 100871, China and Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China and Graduate University, Chinese Academy of Sciences, Beijing, China.
Med Phys. 2015 Feb;42(2):637-644. doi: 10.1118/1.4905163.
To improve adaptive reconstruction of multichannel MR images by simultaneously removing nonsmooth phase and signal-loss imaging artifacts.
The improved adaptive reconstruction consists of three steps: (1) modified multichannel images are first derived by dividing raw multichannel images by a reference image (i.e., a normalized single-channel image); (2) the modified multichannel images are smoothed by a low-pass filter; (3) adaptive spatial matched filters determined from the smoothed multichannel images are utilized to obtain multichannel combined images. Numerical simulations, as well as MRI experiments, on phantoms and human subjects are performed to evaluate and compare the effectiveness of this improved adaptive reconstruction approach against traditional coil combination methods.
Both simulation and MRI experimental results demonstrated that the proposed improved adaptive reconstruction method is able to obtain combined images with reduced nonsmooth phase and signal-loss imaging artifacts.
A novel multichannel image reconstruction method is developed that produces high quality multichannel combined images.
通过同时去除非平滑相位和信号丢失成像伪影来改进多通道磁共振图像的自适应重建。
改进的自适应重建包括三个步骤：（1）首先通过将原始多通道图像除以参考图像（即归一化的单通道图像）来导出修改后的多通道图像；（2）通过低通滤波器对修改后的多通道图像进行平滑处理；（3）利用从平滑后的多通道图像确定的自适应空间匹配滤波器来获得多通道组合图像。对体模和人体受试者进行了数值模拟以及磁共振成像实验，以评估和比较这种改进的自适应重建方法与传统线圈组合方法的有效性。
模拟和磁共振成像实验结果均表明，所提出的改进自适应重建方法能够获得具有减少的非平滑相位和信号丢失成像伪影的组合图像。
开发了一种新型的多通道图像重建方法，该方法可产生高质量的多通道组合图像。
