Abstract #3383

Clinical Image Quality Evaluation For Field Strength and Contrast Independence of Deep Learning Reconstruction

Erin J Kelly¹, Hung P Do², Dawn M Berkeley², and Jonathan K Furuyama²

¹Canon Medical Systems USA, Inc, Tustin, CA, United States, ²Canon Medical Systems USA, Inc., Tustin, CA, United States

dDLR algorithms with two path CNN architecture that are designed to be noise adaptive are robust against differences in image contrast and field strength. This study shows clinical image quality improvement on 1.5T brain and knee datasets using an algorithm trained on 3T data.

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