Rim Lesion

Rim lesions, particularly in the context of multiple sclerosis (MS), are hyperintense regions at the edge of lesions visible on specialized MRI scans, and their accurate identification is crucial for diagnosis and prognosis. Current research focuses on developing automated methods for detecting and characterizing these lesions using quantitative susceptibility mapping (QSM) and deep learning architectures, such as those employing directed accumulators or level-set methodologies, to improve diagnostic accuracy and overcome challenges posed by limited data and class imbalance. Improved detection and characterization of rim lesions offer the potential for more precise MS diagnosis, better prediction of disease progression, and ultimately, more effective treatment strategies.