BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR99-349
ENTRY:: June 10, 1999
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: Improved Computer Detection and Mapping of Cerebral Oxygenation
TYPE:: Technical Report (paper)
REVISION:: 1
AUTHOR:: Kung, David H.
DATE:: June, 1999
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR99-349.ps.Z
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR99-349.pdf
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.
END:: ncstrl.dartmouthcs//TR99-349