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Level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging
 

Summary: Level-set algorithm for the reconstruction of functional
activation in near-infrared spectroscopic imaging
Mathews Jacob
Yoram Bresler
Vlad Toronov
University of Illinois at Urbana-Champaign
Urbana, Illinois 61820
Xiaofeng Zhang
Andrew Webb
Pennsylvania State University
University Park
Pennsylvania 16802
Abstract. We introduce a new algorithm for the reconstruction of
functional brain activations from near-infrared spectroscopic imaging
NIRSI data. While NIRSI offers remarkable biochemical specificity,
the attainable spatial resolution with this technique is rather limited,
mainly due to the highly scattering nature of brain tissue and the low
number of measurement channels. Our approach exploits the
support-limited spatially concentrated nature of the activations to
make the reconstruction problem well-posed. The new algorithm con-

  

Source: Andrews, Anne M. - Huck Institutes of the Life Sciences, Pennsylvania State University
Jacob, Mathews - Departments of Biomedical Engineering & Electrical and Computer Engineering, University of Rochester

 

Collections: Biology and Medicine; Engineering