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Abstract #1307

Clinical performance of reduced gadolinium dose for contrast-enhanced brain MRI using deep learning

Huanyu Luo1, Jing Xue1, Yunyun Duan1, Cheng Xu1, Jonathan Tamir2, Srivathsa Pasumarthi Venkata2, and Yaou Liu1
1Radiology, Beijing Tiantan Hospital, Beijing, China, 2Subtle Medical Inc, Menlo Park, CA, United States

The reported gadolinium deposition phenomenon has caused extensive concern in the radiology community. This study focuses on validating the clinical performance of a proposed deep learning architecture which can significantly reduce the dosage of gadolinium-based contrast agents (GBCA) in brain MRI. The results suggest that the synthesized contrast images using deep learning with reduced GBCA dose can maintain its diagnostic quality under certain clinical circumstances.

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