Abstract #1031

Substituting Gadolinium In Human Brain MRI Using DeepContrast

Chen Liu^1,2, Nanyan Zhu^1,3, Xinyang Feng^4,5, Frank A Provenzano⁶, John T Vaughan^4,7,8, Scott A Small^6,7,9, and Jia Guo^8,9

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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