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Computational Cardiac Anatomy |
| Principal Investigator: Faisal Beg |
| MSc Student: Vinay Kotamraju |
| MSc Student: Ryan Dickie |
We are utilizing canine cardiac DTMRI data to determine the biomechanical properties of the heart. We are developing new techniques for processing, smoothing, and analyzing this data. |
Diffusion tensor magnetic resonance imaging (DTMRI) research is primarily focused on heart and brain fiber structure analysis. In many biological tissues, the water diffusivity is non-isotropic in direction because the tissue structure prevents and restricts motion along certain directions. In these non-isotropic regions, we can determine from the measured tensor the least restricted direction of water diffusion. This property is exploited in DTMRI to determine the properties and orientation along the length of the fiber. When diffusion is measured across the entire volume, DTMRI can demonstrate the overall structure of fibrous tissues. The power of DTMRI lies in its ability to provide information about the underlying anatomical makeup without time consuming histological methods: it can be performed in vivo across the entire region of interest.
My research is primarily involved in two areas: visualization and processing. I am working on solutions to smooth and pre-process the data so that I can extract clean and valuable anatomical information. Using the cleaned and processed data, I am creating new ways of interpreting, analyzing, tracking, and comparing anatomical traits between hearts. I am currently designing new methods for visualising these results. I am striving to create methods that should be easy to interpret yet present all relevant information. |
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