Diffuse light tomography to detect blood vessels using Tikhonov regularization

Huseyin Ozgur Kazanci; Steven Jacques

doi:10.1117/12.2230074

Diffuse light tomography to detect blood vessels using Tikhonov regularization

Huseyin Ozgur Kazanci, Steven Jacques

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Detection of blood vessels within light-scattering tissues involves detection of subtle shadows as blood absorbs light. These shadows are diffuse but measurable by a set of source-detector pairs in a spatial array of sources and detectors on the tissue surface. The measured shadows can reconstruct the internal position(s) of blood vessels. The tomographic method involves a set of N_s sources and N_d detectors such that N_sd = N_s x N_d source-detector pairs produce N_sd measurements, each interrogating the tissue with a unique perspective, i.e., a unique region of sensitivity to voxels within the tissue. This tutorial report describes the reconstruction of the image of a blood vessel within a soft tissue based on such source-detector measurements, by solving a matrix equation using Tikhonov regularization. This is not a novel contribution, but rather a simple introduction to a well-known method, demonstrating its use in mapping blood perfusion.

Original language	English (US)
Title of host publication	Saratov Fall Meeting 2015 - Third International Symposium on Optics and Biophotonics; and Seventh Finnish-Russian Photonics and Laser Symposium (PALS)
Publisher	SPIE
Volume	9917
ISBN (Electronic)	9781510602267
DOIs	https://doi.org/10.1117/12.2230074
State	Published - 2016
Event	3rd International Symposium on Optics and Biophotonics, SFM 2015 and 7th Finnish-Russian Photonics and Laser Symposium, PALS 2015 - Saratov, Russian Federation Duration: Sep 22 2015 → Sep 25 2015

Other

Other	3rd International Symposium on Optics and Biophotonics, SFM 2015 and 7th Finnish-Russian Photonics and Laser Symposium, PALS 2015
Country/Territory	Russian Federation
City	Saratov
Period	9/22/15 → 9/25/15

Keywords

Biomedical optic
Diffuse light tomography
Diffuse optic imaging
Diffuse optical tomography
Inverse problem solution
Laser imaging
Monte carlo simulation
Tikhonov regularization

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Biomaterials
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2230074

Cite this

Diffuse light tomography to detect blood vessels using Tikhonov regularization. / Kazanci, Huseyin Ozgur; Jacques, Steven.

Saratov Fall Meeting 2015 - Third International Symposium on Optics and Biophotonics; and Seventh Finnish-Russian Photonics and Laser Symposium (PALS). Vol. 9917 SPIE, 2016. 99170T.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kazanci, HO & Jacques, S 2016, Diffuse light tomography to detect blood vessels using Tikhonov regularization. in Saratov Fall Meeting 2015 - Third International Symposium on Optics and Biophotonics; and Seventh Finnish-Russian Photonics and Laser Symposium (PALS). vol. 9917, 99170T, SPIE, 3rd International Symposium on Optics and Biophotonics, SFM 2015 and 7th Finnish-Russian Photonics and Laser Symposium, PALS 2015, Saratov, Russian Federation, 9/22/15. https://doi.org/10.1117/12.2230074

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title = "Diffuse light tomography to detect blood vessels using Tikhonov regularization",

abstract = "Detection of blood vessels within light-scattering tissues involves detection of subtle shadows as blood absorbs light. These shadows are diffuse but measurable by a set of source-detector pairs in a spatial array of sources and detectors on the tissue surface. The measured shadows can reconstruct the internal position(s) of blood vessels. The tomographic method involves a set of Ns sources and Nd detectors such that Nsd = Ns x Nd source-detector pairs produce Nsd measurements, each interrogating the tissue with a unique perspective, i.e., a unique region of sensitivity to voxels within the tissue. This tutorial report describes the reconstruction of the image of a blood vessel within a soft tissue based on such source-detector measurements, by solving a matrix equation using Tikhonov regularization. This is not a novel contribution, but rather a simple introduction to a well-known method, demonstrating its use in mapping blood perfusion.",

keywords = "Biomedical optic, Diffuse light tomography, Diffuse optic imaging, Diffuse optical tomography, Inverse problem solution, Laser imaging, Monte carlo simulation, Tikhonov regularization",

author = "Kazanci, {Huseyin Ozgur} and Steven Jacques",

year = "2016",

doi = "10.1117/12.2230074",

language = "English (US)",

volume = "9917",

booktitle = "Saratov Fall Meeting 2015 - Third International Symposium on Optics and Biophotonics; and Seventh Finnish-Russian Photonics and Laser Symposium (PALS)",

publisher = "SPIE",

note = "3rd International Symposium on Optics and Biophotonics, SFM 2015 and 7th Finnish-Russian Photonics and Laser Symposium, PALS 2015 ; Conference date: 22-09-2015 Through 25-09-2015",

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T1 - Diffuse light tomography to detect blood vessels using Tikhonov regularization

AU - Kazanci, Huseyin Ozgur

AU - Jacques, Steven

PY - 2016

Y1 - 2016

N2 - Detection of blood vessels within light-scattering tissues involves detection of subtle shadows as blood absorbs light. These shadows are diffuse but measurable by a set of source-detector pairs in a spatial array of sources and detectors on the tissue surface. The measured shadows can reconstruct the internal position(s) of blood vessels. The tomographic method involves a set of Ns sources and Nd detectors such that Nsd = Ns x Nd source-detector pairs produce Nsd measurements, each interrogating the tissue with a unique perspective, i.e., a unique region of sensitivity to voxels within the tissue. This tutorial report describes the reconstruction of the image of a blood vessel within a soft tissue based on such source-detector measurements, by solving a matrix equation using Tikhonov regularization. This is not a novel contribution, but rather a simple introduction to a well-known method, demonstrating its use in mapping blood perfusion.

AB - Detection of blood vessels within light-scattering tissues involves detection of subtle shadows as blood absorbs light. These shadows are diffuse but measurable by a set of source-detector pairs in a spatial array of sources and detectors on the tissue surface. The measured shadows can reconstruct the internal position(s) of blood vessels. The tomographic method involves a set of Ns sources and Nd detectors such that Nsd = Ns x Nd source-detector pairs produce Nsd measurements, each interrogating the tissue with a unique perspective, i.e., a unique region of sensitivity to voxels within the tissue. This tutorial report describes the reconstruction of the image of a blood vessel within a soft tissue based on such source-detector measurements, by solving a matrix equation using Tikhonov regularization. This is not a novel contribution, but rather a simple introduction to a well-known method, demonstrating its use in mapping blood perfusion.

KW - Biomedical optic

KW - Diffuse light tomography

KW - Diffuse optic imaging

KW - Diffuse optical tomography

KW - Inverse problem solution

KW - Laser imaging

KW - Monte carlo simulation

KW - Tikhonov regularization

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DO - 10.1117/12.2230074

M3 - Conference contribution

AN - SCOPUS:84975090059

VL - 9917

BT - Saratov Fall Meeting 2015 - Third International Symposium on Optics and Biophotonics; and Seventh Finnish-Russian Photonics and Laser Symposium (PALS)

PB - SPIE

T2 - 3rd International Symposium on Optics and Biophotonics, SFM 2015 and 7th Finnish-Russian Photonics and Laser Symposium, PALS 2015

Y2 - 22 September 2015 through 25 September 2015

ER -

Diffuse light tomography to detect blood vessels using Tikhonov regularization

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