Improved Computer Detection and Mapping of Cerebral Oxygenation

Dartmouth Technical Report PCS-TR99-349

	David H. Kung

Date: June, 1999

URL (compressed postscript): <http://www.cs.dartmouth.edu/reports/TR99-349.ps.Z> (1700KB)

URL (PDF): <http://www.cs.dartmouth.edu/reports/TR99-349.pdf> (464KB)

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.