Abstract #3549

Predicting T2 Maps from Morphological OAI Images with an ROI-Focused GAN

Bragi Sveinsson^1,2, Akshay Chaudhari³, Bo Zhu^1,2, Neha Koonjoo^1,2, and Matthew Rosen^1,2

¹Massachusetts General Hospital, Boston, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Stanford University, Stanford, CA, United States

The osteoarthritis initiative (OAI) performed several morphological MRI scans on both knees of a large patient cohort, but only acquired T2 maps in the right knee of most patients. We train a conditional GAN to use the morphological scans acquired in both knees to predict the T2 map, using the acquired T2 map in the right knee as a training target. Post-training, we apply the network to predict T2 values in the left knee, without an acquired T2 map.

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