IVIM quantification and b-value optimization using deep neural network

Many studies have been performed to show that IVIM could be used as a biomarker for various diseases(1-5). Since IVIM is formulated by a biexponential model, it is difficult to quantify the IVIM parameters. Researchers have tried to solve the inverse problems of the biexponential model using two approaches:improving fitting method and selecting optimized b-values(6-8). The trained DNN and the optimized b-values by the proposed method quantified IVIM parameters more accurately than combination of the conventional b-value optimization schemes with DNN fitting method. The optimized b-values by the proposed method showed superior performance even when combined with other fitting methods.