SPIE 2013 DTI Workshop

Exploring Brain Connectivity in-vivo: from Theory to Practice - A hands-on analysis workshop on Diffusion MRI by the National Alliance for Medical Image Computing (NA-MIC)

Course Description:

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. 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. 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. 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.

Faculty

• Sonia Pujol, Ph.D., Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School
• Guido Gerig, Ph.D., The Scientific Computing and Imaging Institute, University of Utah
• Martin Styner, Ph.D.,Neuro Image Research and Analysis Laboratory, University of North Carolina

Date and Location

• Saturday February 9, 2013

SPIE Medical Imaging 2013, Orlando, Florida.

Registration

To register for this course, please visit the SPIE 2013 conference website.

Learning Outcomes

This course will enable participants to:

• 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

For questions related to the workshop, please send an e-mail to Sonia Pujol (spujol at bwh.harvard.edu).

Intended Audience

Scientists, engineers, and clinical researchers who are interested in learning how to use Diffusion Tensor MR Imaging for mapping the white matter of the human brain in health and disease. This course does not need any prior knwoledge, but it can be combined with the course SC 1063: Diffusion Imaging.

Preparation for the hands-on sessions: Software and datasets

The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM (4 GB is better) and a graphic accelerator with 256 MB (512MB is better) of on-board graphic memory are required. The 3DSlicer version 4 software and datasets to download will be posted a few days before the event on this website. In addition, time is allotted to install the data and packages from USB sticks at the beginning of the workshop.

The following OS are supported: MacOS X Lion, Windows 7 (VS 2008), Linux 64.

Slicer Community

Participants are invited to join the Slicer user and Slicer developer mailing lists prior to the workshop. This is a place for the Slicer community to discuss questions and feature requests related to 3D Slicer.

Slicer4 Training Survey

Click here to take the Slicer4 Training Survey

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