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Abstract #3383

Clinical Image Quality Evaluation ForĀ 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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