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Abstract: Near-infrared (NIR) optical image reconstruction that incorporates blood oxygen level dependant (BOLD) magnetic resonance imaging has the potential to improve both quantifiable measurement of oxygenation and the spatial resolution involved in such mapping. My thesis continues some preliminary work in this area through development of an analytic diffusion parameter estimation algorithm for use with a NIR imaging array and development of a finite element mesh utility to read a priori BOLD images and tag them with property elements for NIR image resolution improvement.

Note: Undergraduate Honors Thesis. Advisors: George Cybenko and Keith Paulsen.

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   David H. Kung, "Improved Computer Detection and Mapping of Cerebral Oxygenation." Dartmouth Computer Science Technical Report PCS-TR99-349, June, 1999.

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