Multi-b values DWI-based Virtual High-resolution MR Elastography and Validation on Liver Fibrosis and Inflammation Prediction

Motivation: Liver biopsy is the standard clinical approach for diagnosing liver fibrosis. However, its invasiveness and possibility of sampling errors impose inherent limitations. Goal(s): To evaluate the reproducibility and reliability of the virtual MRE based on DWI and compare it with MRE to assess its efficiency in diagnosing liver fibrosis. Approach: RegGAN was employed to forecast MRE and rectify the outcomes. And CBAM was utilized to quantify the influence of diverse b-values in DWI. Results: RegGAN-CBAM demonstrates favorable performance in both image and stiffness prediction of MRE. The liver fibrosis grading based on stiffness predictions demonstrates a high level of accuracy and sensitivity. Impact: The prediction methodology of 3D MRE based on DWI exhibits a notable level of diagnostic efficiency and reliability. This approach serves as a non-invasive method with practical applicability in the clinical assessment of liver fibrosis.