3D Slicer and FiberViewer PDF Print E-mail

3D Slicer (www.na-mic.org) is an comprehensive, integrated, open-source environment for medical image visualization and analysis developed as part of the national alliance for medical image computing (NA-MIC) funded as a national center for biomedical computing (NCBC) through the NIH Roadmap for Medical Research. Slicer includes modules for segmentation, registration, diffusion tensor image (DTI) analysis, and many other features. In particular, the SCI institute has contributed modules for DTI analysis including regularization and smoothing. DTI analysis software from the NeuroLib library for neuroimage processing (www.ia.unc.edu/dev) such as FiberViewer has been made compatible with Slicer in order to allow an integrated analysis process. Clinical users are able to load diffusion weighted images into Slicer to perform preprocessing, tensor estimation, and fiber tracking. Data exported from Slicer can then be loaded into the FiberViewer tool to enable the study of diffusion statistics along fiber bundles of interest. This provides a complete environment for end users to process DTI data for clinical studies.

 
Diffusion Tensor MRI Population Analysis PDF Print E-mail

Diffusion tensor magnetic resonance imaging (DT-MRI) is relatively new imaging technique which provides new insight into the structure of brain white matter by measuring the local diffusion of water in the brain. In this project associated with the national alliance for medical image computing (NAMIC) images are combined from a population, as shown in figure 1, into a template atlas which reflects the average properties of the population. White matter bundles are extracted from in the template atlas to serve as a coordinate system for measuring diffusion properties and how they differ between populations. In a study of neurodevelopment in association with the CONTE center at University of North Carolina - Chapel Hill, an atlas was developed based on subjects at one and two years of age. Figure 2 shows fiber bundles extracted from this template atlas. Statistical comparison of the diffusion properties between one and two year olds indicates significant changes that may reflect underlying changes in myelination and axon development. Figure 3 shows differences in the fractional anisotropy (FA), a measure of diffusion tensors which is thought to reflect axon development, from one to two years. The red regions indicate the largest increase of the FA value.

The goal of this form of visualization is to identify the voxels in the diffusion tensor MRI volume that trace out paths linking two regions of the brain based on an optimization algorithm. The resulting paths may show the paths of functional communications between different parts of the brain.