MR Image Processing

This course offers a comprehensive overview of MR image processing techniques, focusing on both key concepts and practical applications. It consists of five modules: an introduction, segmentation and registration, radiomics, fMRI data processing, and hands-on practical exercises. Through 13 expert-led lectures by AUMC, participants will develop both theoretical knowledge and practical skills for processing and analyzing MR images in research and clinical settings. The course also covers key concepts and specified topics, including image segmentation, radiomics analysis, and fMRI data analysis. By the end of the course, participants will have a clearer understanding of image processing concepts and principles of machine learning for image processing, radiomics analysis for clinical use, and fMRI data analysis. This course is offered as part of the TACTIX project in collaboration with AUMC, Fraunhofer MEVIS, and  BU.

Target Audience: Researchers, clinicians, radiologists, medical physicists, and students in biomedical engineering or related fields interested in learning MR image processing techniques for research and clinical applications.