The development of Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has opened up the possibility of studying the complex organization of the brain's white matter in-vivo. By measuring the diffusion of water molecules in tissues, the technique gives insights into the structure and orientation of major white matter pathways, and DT-MRI findings have the potential to play a critical role in the extraction of meaningful information for diagnosis, prognosis and following of treatment response.
The course will guide participants through the fundamental aspects of DT-MRI data analysis, as well as the challenges of transferring cutting-edge DT-MRI techniques to clinical routine. The format will include a series of hands-on sessions with the participants running DT-MRI analysis on their own laptops, to provide a practical experience of extracting useful clinical information from Diffusion MR images. Participants will be guided through an integrated workflow for exploring the brain white matter in a series of datasets that will be provided as part of the course. The hands-on sessions will use DT-MRI tools from the NA-MIC toolkit, which include the 3DSlicer software, an open-source platform for medical image processing and 3D visualization used in biomedical and clinical research.
This event is part of the on-going effort of the NIH-funded National Alliance for Medical Image Computing (NA-MIC) to transfer the latest advances in biomedical image analysis to the scientific and clinical community.
This course is intended as a companion to SC1063, Diffusion Imaging. Attendees will benefit maximally by attending both courses.
- identify the different components of a DT-MRI fiber tract analysis pipeline
- perform DWI/DTI data quality control
- visualize 3D tensor fields and diffusion-derived maps
- generate 3D reconstructions of white matter tracts in a normal subject and pathological case
- extract and visualize DTI fiber tract profiles
- identify the current challenges inherent in using DT-MRI data in the clinics