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Computational Performance of Time-Resolved Diffuse Optical Tomography in a Two-Layer Brain Model

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Abstract

We evaluate Mellin-Laplace algorithm in a two-layer brain model with Monte-Carlo generated data. Results show accurate absorption estimation and the flexibility of the algorithm to detect each layer thickness.
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Dates and versions

hal-01965639 , version 1 (26-12-2018)

Identifiers

  • HAL Id : hal-01965639 , version 1

Cite

David Orive-Miguel, Lionel Hervé, Jerome I. Mars, Laurent Condat, Jean-Marc Dinten, et al.. Computational Performance of Time-Resolved Diffuse Optical Tomography in a Two-Layer Brain Model. OSA Biophotonics Congress: Biomedical Optics, Apr 2018, Hollywood, Florida, United States. ⟨hal-01965639⟩
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