Translating MR Sequences into Clinical Tools: Abdomino-Pelvic Applications of DWI That Have Transformed Oncology Practice
Daiki Tamada1,2
1University of Wisconsin-Madison, United States, 2University of Yamanashi, Chuo, Japan
1University of Wisconsin-Madison, United States, 2University of Yamanashi, Chuo, Japan
Synopsis
Diffusion-weighted imaging (DWI), which relies on microscopic motion in the cell, is an essential tool to diagnose and evaluate lesions in the body. However, many challenges remain, such as artifacts, low-SNR, long scan time, and comprehensive interpretation. Recently, artificial intelligence (AI) approaches have been proposed to address these challenges. Furthermore, recent deep learning approaches enabled innovative applications. This talk aims to review the emerging applications using AIs for body DWI.
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