Shuai Wang1, 2, Tian Liu3, Weiwei Chen4, Pascal Spincemaille2, Yi Wang, 25
1University of Electronic Science and Technology of China, Cheng Du, Si Chuan, China; 2Radiology, Weill Cornell Medical College, New York, United States; 3MedImageMetric LLC, New York, United States; 4Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science&Technology, Wuhan, Hubei, China; 5Biomedical Engineering, Cornell University, Ithaca, NY, United States
Several Quantitative Susceptibility Mapping (QSM) methods have been proposed to obtain tissue magnetic susceptibility in vivo. We compared various QSM methods in order to identify a robust QSM for clinical applications. We found that noise from the non-cone region in k-pace where the dipole inversion has been regarded as well behaved can contribute to substantial streaking artifacts in QSM. An accurate QSM needs address noise in the entire k-space, and not just the cone region. Evaluation on 21 consecutive patients indicated that the image space based morphology enabled dipole inversion is the most robust among three evaluated methods.