Dr. Sonia Pujol
Instructor of Radiology at Brigham and Women's Hospital Harvard Med School
SPIE Involvement:
Conference Program Committee | Instructor
Conference Committee Involvement (8)
Image Processing
16 February 2019 | San Diego, California, United States
Image Processing
11 February 2018 | Houston, Texas, United States
Image Processing
12 February 2017 | Orlando, Florida, United States
Image Processing Posters
12 February 2017 | Orlando, FL, United States
Image Processing
1 March 2016 | San Diego, California, United States
Showing 5 of 8 published special sections
Course Instructor
SC1065: Exploring Brain Connectivity in-vivo: from Theory to Practice
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. <i>This course is intended as a companion to SC1063, Diffusion Imaging. Attendees will benefit maximally by attending both courses.</i>
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