Real-time Diffuse Optical Tomography using reduced-order light propagation models
Real-time Diffuse Optical Tomography using reduced-order light propagation models
This paper proposes a new fast 3D image reconstruction algorithm for Diffuse Optical Tomography using reduced order polynomial mappings from the space of optical tissue parameters into the space of flux measurements at the detector locations. The polynomial mappings are constructed through an iterative estimation process involving structure detection, parameter estimation and cross-validation using data generated by simulating a diffusion approximation of the radiative transfer equation incorporating a priori anatomical and functional information provided by MR scans and prior psychological evidence. Numerical simulation studies demonstrate that reconstructed images are remarkably similar in quality as those obtained using the standard approach, but obtained at a fraction of the time.
Diffuse Optical Tomography, Inverse problem, Near-infrared imaging
378-385
Vidal-Rosas, Ernesto E.
1da82633-b581-468e-b41a-117b6893a84d
Billings, Stephen A.
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Zheng, Ying
ba53ad43-96fb-4e3a-8d78-b46b402e21e4
Mayhew, John E.W.
561ac855-01c3-499e-a7f2-ff0e42f5cc23
Johnston, David
521d8856-7ed3-44bf-ab7e-255ab6fc8ae4
Kennerly, Aneurin
cf6cdd1e-8908-4a89-95af-bbd3c09f2efe
Coca, Daniel
322b6da4-a36b-401c-8a67-fd4b7f4d036d
February 2011
Vidal-Rosas, Ernesto E.
1da82633-b581-468e-b41a-117b6893a84d
Billings, Stephen A.
a67e1eb0-9795-42b0-9d3b-2bc158373cb2
Zheng, Ying
ba53ad43-96fb-4e3a-8d78-b46b402e21e4
Mayhew, John E.W.
561ac855-01c3-499e-a7f2-ff0e42f5cc23
Johnston, David
521d8856-7ed3-44bf-ab7e-255ab6fc8ae4
Kennerly, Aneurin
cf6cdd1e-8908-4a89-95af-bbd3c09f2efe
Coca, Daniel
322b6da4-a36b-401c-8a67-fd4b7f4d036d
Vidal-Rosas, Ernesto E., Billings, Stephen A., Zheng, Ying, Mayhew, John E.W., Johnston, David, Kennerly, Aneurin and Coca, Daniel
(2011)
Real-time Diffuse Optical Tomography using reduced-order light propagation models.
Baumgartner, C.
(ed.)
In Proceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011.
ACTA Press.
.
(doi:10.2316/P.2011.723-107).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper proposes a new fast 3D image reconstruction algorithm for Diffuse Optical Tomography using reduced order polynomial mappings from the space of optical tissue parameters into the space of flux measurements at the detector locations. The polynomial mappings are constructed through an iterative estimation process involving structure detection, parameter estimation and cross-validation using data generated by simulating a diffusion approximation of the radiative transfer equation incorporating a priori anatomical and functional information provided by MR scans and prior psychological evidence. Numerical simulation studies demonstrate that reconstructed images are remarkably similar in quality as those obtained using the standard approach, but obtained at a fraction of the time.
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More information
Published date: February 2011
Venue - Dates:
IASTED International Conference on Biomedical Engineering, Biomed 2011, , Innsbruck, Austria, 2011-02-16 - 2011-02-18
Keywords:
Diffuse Optical Tomography, Inverse problem, Near-infrared imaging
Identifiers
Local EPrints ID: 489029
URI: http://eprints.soton.ac.uk/id/eprint/489029
PURE UUID: e635a693-90a2-4e44-86c1-3e9a980e7c1a
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Date deposited: 11 Apr 2024 16:42
Last modified: 13 Apr 2024 02:08
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Contributors
Author:
Ernesto E. Vidal-Rosas
Author:
Stephen A. Billings
Author:
Ying Zheng
Author:
John E.W. Mayhew
Author:
David Johnston
Author:
Aneurin Kennerly
Author:
Daniel Coca
Editor:
C. Baumgartner
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