2009 Summer Project Week 4D Gated US In Slicer
Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Key Investigators
- Robarts Research Institute / University of Western Ontario: Danielle Pace
Objective
We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.
Approach, Plan
Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.
Our plan for the project week is to first try out <bar>,...
Progress
Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
References
- Pace DF, Wiles AD, Moore J, Wedlake C, Gobbi DG, Peters TM, Validation of four-dimensional ultrasound for targetting in minimally-invasive beating-heart surgery, Proceedings of SPIE Medical Imaging: Visualization, Image-Guided Procedures and Modeling, 2009.
- Boisvert J, Gobbi DG, Vikal S, Rohling R, Fichtinger G, Abolmaesumi P, An open-source solution for interactive acquisition, processing and transfer of interventional ultrasound images, Workshop on Systems and Architectures for Computer Assisted Interventions, MICCAI 2008.
