Meeting Banner
Abstract #2691

Software Tools for Anatomical ROI-Based Connectivity Analysis

David W. Shattuck1, Anand A. Joshi2, Justin P. Haldar2, Chitresh Bhushan2, Soyoung Choi3, Andrew C. Krause1, Jessica L. Wisnowski4, 5, Arthur W. Toga1, Richard M. Leahy2

1Laboratory of Neuro Imaging, University of California, Los Angeles, Los Angeles, CA, United States; 2Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States; 3Dana and David Dornsife Cognitive Neuroscience Imaging Institute, University of Southern California, Los Angeles, CA, United States; 4Brain and Creativity Institute, University of Southern California, Los Angeles, CA, United States; 5Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States


We describe a collection of software tools for jointly processing and visualizing structural and diffusion MRI of the brain. T1-weighted brain MRI are processed to extract models of the cortical surface. A brain atlas labeled with anatomical ROIs is registered to the subject data using a combined surface/volume registration procedure. Diffusion weighted images are processed to produce fiber tract models. The structural and diffusion results are combined to generate a brain connectivity map based on the set of anatomical ROIs. These tools can be applied using scripts or through a user interface that provides sophisticated interactive processing and visualization capabilities.

Keywords