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Abstract #1031

Substituting Gadolinium In Human Brain MRI Using DeepContrast

Chen Liu1,2, Nanyan Zhu1,3, Xinyang Feng4,5, Frank A Provenzano6, John T Vaughan4,7,8, Scott A Small6,7,9, and Jia Guo8,9
1These authors contribute equally to this work and are joint first authors, New York, NY, United States, 2Electrical Engineering, Columbia University, New York, NY, United States, 3Biological Science, Columbia University, New York, NY, United States, 4Biomedical Engineering, Columbia University, New York, NY, United States, 5Facebook, San Francisco, NY, United States, 6Neurology, Columbia University, New York, NY, United States, 7Radiology, Columbia University, New York, NY, United States, 8Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 9Psychiatry, Columbia University, New York, NY, United States

MRI estimation of cerebral blood volume (CBV) is useful in mapping potential brain function. To obtain high-resolution CBV maps, it typically requires intravenous (IV) injections of Gadolinium-based contrast agents (GBCAs), the use of which has come under new scrutiny. Here, we design and implement a deep learning algorithm, DeepContrast, to estimate GBCA contrast directly from T1-weighted (T1W) structural MRI. The predicted contrast performs equally well as the GBCA-enhanced CBV map even in mapping subtle age-related functional changes in the human brain. Therefore, our study demonstrates the feasibility of substituting GBCA in human brain MRI using DeepContrast.

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