Abstract #1347

Quantitative Evaluation of Multiband Diffusion MRI Data

Arun Venkataraman¹, Benjamin Risk², Deqian Qiu^3,4, Jianhui Zhong^1,5, Feng (Vankee) Lin^6,7, and Zhengwu Zhang⁸

¹Physics and Astronomy, University of Rochester, Rochester, NY, United States, ²Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States, ³Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, ⁴Biomedical Engineering, Emory University, Atlanta, GA, United States, ⁵Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States, ⁶Brain and Cognitive Sciences, University of Rochester, Rochester, NY, United States, ⁷Neuroscience, University of Rochester Medical Center, Rochester, NY, United States, ⁸Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, United States

We sought to understand the implications of slice and phase acceleration factors on diffusion MRI (dMRI) data quality. As part of an on-going study about the impact of acceleration on dMRI quality, reconstruction, and data analysis, we acquired data from young and old, healthy subjects as well as mild cognitive impairment (MCI) subjects. From our study results, we found that there appears to be a trade-off between SNR loss due to higher acceleration and SNR gain from reducing the impact/magnitude of motion. Future studies should examine how the costs and benefits of acceleration impact diffusion metrics, tractography, and reproducibility.

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