Evaluation of multi-frequency MRE repeatability in healthy people and CKD diagnosis combined with automatic segmentation technique

Motivation: The incorporation of automated kidney segmentation technology with multi-frequency MRE represents a novel approach in evaluating kidney diseases. Goal(s): To explore the reliability of multi-frequency MRE combined with an automatic segmentation method and its diagnostic potential for CKD patients. Approach: Constructed an automatic kidney segmentation model based on the nnU-Net network and measured the renal stiffness of MRE, employing T-tests, ROC curves, and Spearman correlation for data analysis. Results: The incorporation of an automatic kidney segmentation model and multi-frequency MRE shows promise in effectively evaluating and monitoring kidney fibrosis. Impact: The incorporation of automated kidney segmentation and MRE presents a new tool for reliably evaluating and monitoring kidney diseases, providing potential advancements in non-invasive diagnoses.