Multi-Wavelength Photo-Magnetic Imaging System for Photothermal Therapy Guidance.

finite element method image reconstruction magnetic resonance thermometry multi-wavelength lasers photo-magnetic imaging photothermal therapy

Journal

Lasers in surgery and medicine
ISSN: 1096-9101
Titre abrégé: Lasers Surg Med
Pays: United States
ID NLM: 8007168

Informations de publication

Date de publication:
07 2021
Historique:
revised: 24 09 2020
received: 18 02 2020
accepted: 26 10 2020
pubmed: 11 11 2020
medline: 29 10 2021
entrez: 10 11 2020
Statut: ppublish

Résumé

In photothermal therapy, cancerous tissue is treated by the heat generated from absorbed light energy. For effective photothermal therapy, the parameters affecting the induced temperature should be determined before the treatment by modeling the increase in temperature via numerical simulations. However, accurate simulations can only be achieved when utilizing the accurate optical, thermal, and physiological properties of the treated tissue. Here, we propose a multi-wavelength photo-magnetic imaging (PMI) technique that provides quantitative and spatially resolved tissue optical absorption maps at any wavelength within the near-infrared (NIR) window to assist accurate photothermal therapy planning. The study was conducted using our recently developed multi-wavelength PMI system, which operates at four laser wavelengths (760, 808, 860, and 980 nm). An agar tissue-simulating phantom containing water, lipid, and ink was illuminated using these wavelengths, and the slight internal laser-induced temperature rise was measured using magnetic resonance thermometry (MRT). The phantom optical absorption was recovered at the used wavelengths using our dedicated PMI image reconstruction algorithm. These absorption maps were then used to resolve the concentration of the tissue chromophores, and thus deduce its optical absorption spectrum in the NIR region based on the Beer-Lambert law. The optical absorption of the phantom was successfully recovered at the used four wavelengths with an average error of ~1.9%. The recovered absorption coefficient was then used to simulate temperature variations inside the phantom. A comparison between the modeled temperature maps and the MRT measured ones showed that these maps are in a good agreement with an average pseudo R Multi-wavelength PMI demonstrated a great ability to assess the distribution of tissue chromophores, thus providing its total absorption at any wavelength within the NIR spectral range. Therefore, applications of photothermal therapy applied at NIR wavelengths can benefit from the absorption spectrum recovered by PMI to determine important parameters such as laser power as well as the laser exposure time needed to attain a specific increase in temperature prior to treatment. Lasers Surg. Med. 00:00-00, 2020. © 2020 Wiley Periodicals LLC.

Sections du résumé

BACKGROUND AND OBJECTIVES
In photothermal therapy, cancerous tissue is treated by the heat generated from absorbed light energy. For effective photothermal therapy, the parameters affecting the induced temperature should be determined before the treatment by modeling the increase in temperature via numerical simulations. However, accurate simulations can only be achieved when utilizing the accurate optical, thermal, and physiological properties of the treated tissue. Here, we propose a multi-wavelength photo-magnetic imaging (PMI) technique that provides quantitative and spatially resolved tissue optical absorption maps at any wavelength within the near-infrared (NIR) window to assist accurate photothermal therapy planning.
STUDY DESIGN/MATERIALS AND METHODS
The study was conducted using our recently developed multi-wavelength PMI system, which operates at four laser wavelengths (760, 808, 860, and 980 nm). An agar tissue-simulating phantom containing water, lipid, and ink was illuminated using these wavelengths, and the slight internal laser-induced temperature rise was measured using magnetic resonance thermometry (MRT). The phantom optical absorption was recovered at the used wavelengths using our dedicated PMI image reconstruction algorithm. These absorption maps were then used to resolve the concentration of the tissue chromophores, and thus deduce its optical absorption spectrum in the NIR region based on the Beer-Lambert law.
RESULTS
The optical absorption of the phantom was successfully recovered at the used four wavelengths with an average error of ~1.9%. The recovered absorption coefficient was then used to simulate temperature variations inside the phantom. A comparison between the modeled temperature maps and the MRT measured ones showed that these maps are in a good agreement with an average pseudo R
CONCLUSIONS
Multi-wavelength PMI demonstrated a great ability to assess the distribution of tissue chromophores, thus providing its total absorption at any wavelength within the NIR spectral range. Therefore, applications of photothermal therapy applied at NIR wavelengths can benefit from the absorption spectrum recovered by PMI to determine important parameters such as laser power as well as the laser exposure time needed to attain a specific increase in temperature prior to treatment. Lasers Surg. Med. 00:00-00, 2020. © 2020 Wiley Periodicals LLC.

Identifiants

pubmed: 33169857
doi: 10.1002/lsm.23350
pmc: PMC8107183
mid: NIHMS1657135
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

713-721

Subventions

Organisme : Susan G. Komen
ID : KG101442
Pays : United States
Organisme : NCI NIH HHS
ID : R33 CA120175
Pays : United States
Organisme : NIH HHS
ID : R33CA120175
Pays : United States
Organisme : NIH HHS
ID : P30CA062203
Pays : United States
Organisme : NIBIB NIH HHS
ID : R21 EB013387
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB008716
Pays : United States
Organisme : NIH HHS
ID : R01EB008716
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA191389
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA062203
Pays : United States
Organisme : NIH HHS
ID : R21CA170955
Pays : United States

Informations de copyright

© 2020 Wiley Periodicals LLC.

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Auteurs

Maha Algarawi (M)

Center for Functional Onco-Imaging, University of California Irvine, Irvine, California, 92697, USA.
Department of Physics and Astronomy, University of California Irvine, Irvine, California, 92697, USA.

Hakan Erkol (H)

Department of Physics, Bogazici University, Istanbul, 34342, Turkey.

Alex Luk (A)

Center for Functional Onco-Imaging, University of California Irvine, Irvine, California, 92697, USA.

Seunghoon Ha (S)

Philips Healthcare, Pewaukee, Wisconsin, 53072, USA.

Mehmet Burcin Unlu (M)

Department of Physics, Bogazici University, Istanbul, 34342, Turkey.

Gultekin Gulsen (G)

Center for Functional Onco-Imaging, University of California Irvine, Irvine, California, 92697, USA.
Department of Physics and Astronomy, University of California Irvine, Irvine, California, 92697, USA.
Department of Radiological Sciences, University of California Irvine, Irvine, California, 92697, USA.

Farouk Nouizi (F)

Center for Functional Onco-Imaging, University of California Irvine, Irvine, California, 92697, USA.
Department of Radiological Sciences, University of California Irvine, Irvine, California, 92697, USA.

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Classifications MeSH