Abstract #3283

IMPROVING THE CONTRAST OF CEREBRAL MICROBLEEDS ON T2*-WEIGHTED IMAGES USING DEEP LEARNING

Ozan Genc¹, Sivakami Avadiappan¹, Yicheng Chen², Christopher Hess¹, and Janine M. Lupo¹

¹Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, ²Facebook Inc., Mountain View, CA, United States

This study trains a deep convolutional neural network to learn the SWI contrast from T2*-weighted magnitude images using a LSGAN deep learning model and assesses the performance of the resulting network on CMB detection. Our predicted SWI images were able to improve CMB contrast over T2* magnitude images and minimize residual artifacts from standard SWI processing.

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