
Proceedings Paper
Near-infrared imaging: photon measurement density functionsFormat | Member Price | Non-Member Price |
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Paper Abstract
We introduce photon measurement density functions (PMDF) as a generalization of photon sampling volumes in near-IR transillumination of scattering tissue. For a given source-detector pair, the PMDF identifies the regions within the tissue contributing to the measurement signal. The knowledge of these regions of sensitivity is important for both spectroscopic applications where the penetration depth of the probing light must be known, and for imaging applications where the PMDF can be used to select the measurement types best suited for the reconstruction of a given tissue parameter. We have developed analytical models which allows to calculate PMDFs for certain geometries and a variety of measurement types in 3D, and a finite element model (FEM) which can be applied to arbitrarily complex and inhomogeneous 2D cases. As an example, we present calculations performed on a FEM mesh generated from an MRI image of a human head.
Paper Details
Date Published: 30 May 1995
PDF: 12 pages
Proc. SPIE 2389, Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation, (30 May 1995); doi: 10.1117/12.209989
Published in SPIE Proceedings Vol. 2389:
Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation
Britton Chance; Robert R. Alfano, Editor(s)
PDF: 12 pages
Proc. SPIE 2389, Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation, (30 May 1995); doi: 10.1117/12.209989
Show Author Affiliations
Martin Schweiger, Univ. College London (United Kingdom)
Simon Robert Arridge, Univ. College London (United Kingdom)
Published in SPIE Proceedings Vol. 2389:
Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation
Britton Chance; Robert R. Alfano, Editor(s)
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