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Abstract #3552

A Web-Based Probabilistic Tractography Database

Chris James Rose1, David Ellard1, David Morris1, Hamied Haroon1, Karl Embleton1,2, Nikos K. Logothetis1,3, Matthew A. Lambon Ralph2, Geoffrey J. Parker1

1Imaging Science and Biomedical Engineering, School of Cancer and Imaging Sciences, The University of Manchester, Manchester, UK; 2School of Psychological Sciences, The University of Manchester, Manchester, UK; 3Max Planck Institute for Biological Cybernetics, Tbingen, Germany

Diffusion tensor imaging (DTI) and probabilistic tractography allow inferences to be made about connectivity in the brain. Tractography results are useful to a range of communities, from those working in MR, through biologists, psychologists and physicians. However, few who stand to benefit have ready access to the requisite MR scanners, sequences and tractography software. This abstract describes a new Internet-based system that allows researchers to obtain anatomical connectivity informationderived from DTI and probabilistic tractographyfor a number of human and animal subjects. We provide a web browser-based interface suited to manual browsing, and a programmatic interface suited to batch processing.