Yue Li1,2, Steven M. Shea2,3,
Hangyi Jiang3, Christine H. Lorenz2,3, Susumu Mori3
1Biomedical Engineering, Johns Hopkins
University School of Medicine, Baltimore, MD, United States; 2Center
for Applied Medical Imaging, Siemens Corporate Research, Baltimore, MD,
United States; 3Russell H. Morgan Department of Radiology and
Radiological Sciences, Johns Hopkins University School of Medicine,
Baltimore, MD, United States
Subpixel
motion artifacts caused by pulsation often introduces severe artifacts in
diffusion weighted images and incorrect tensor estimation. Previously
fitting-based outlier rejection methods have been proposed to obtain robust
tensor estimation. This presentation extended the past efforts from two
aspects. First, a new non-fitting-based quality criterion was added, which
outperforms the existing method when fitting becomes unstable due to multiple
outliers. Second, we implemented this algorithm into Siemens Image
Calculation Environment such that reacquisition of corrupted slices can occur
inline. Preliminary test results showed improvements with our method and
reacquisition of data in real-time reduced the presence of artifacts.