Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography
The paper describes a TurbidMC code that implements a perturbative Monte Carlo method to model temporal point spread functions and sensitivity functions for time-resolved fluorescence molecular tomography (FMT). The code is aimed at working with a particular FMT method published earlier (Ref. [22])...
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Samara National Research University
2023-10-01
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Series: | Компьютерная оптика |
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Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470501e.html |
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author | S.I. Samarin A.B. Konovalov V.V. Vlasov I.D. Solovyev A.P. Savitsky V.V. Tuchin |
author_facet | S.I. Samarin A.B. Konovalov V.V. Vlasov I.D. Solovyev A.P. Savitsky V.V. Tuchin |
author_sort | S.I. Samarin |
collection | DOAJ |
description | The paper describes a TurbidMC code that implements a perturbative Monte Carlo method to model temporal point spread functions and sensitivity functions for time-resolved fluorescence molecular tomography (FMT). The code is aimed at working with a particular FMT method published earlier (Ref. [22]) which defines the specificity of sensitivity function calculation. The method solves the inverse problem first for a generalized fluorescence parameter distribution function and then calculates separate distributions for the fluorophore absorption coefficient and the fluorescence lifetime. The proper operation of the code was verified through a comparison between fluorescence temporal point spread functions from test calculations and data from experiments where a phantom with a fluorophore was scanned with a three-channel probe in the mesoscopic reflectance regime. An example is given on the reconstruction of fluorescence parameter distributions. It shows that the sensitivity functions are calculated correctly. |
format | Article |
id | doaj-art-9ff7433dd97447b2a7fd8bbc22ff5404 |
institution | Kabale University |
issn | 0134-2452 2412-6179 |
language | English |
publishDate | 2023-10-01 |
publisher | Samara National Research University |
record_format | Article |
series | Компьютерная оптика |
spelling | doaj-art-9ff7433dd97447b2a7fd8bbc22ff54042025-01-21T11:07:59ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-10-0147567369010.18287/2412-6179-CO-1295Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomographyS.I. Samarin0A.B. Konovalov1V.V. Vlasov2I.D. Solovyev3A.P. Savitsky4V.V. Tuchin5FSUE "Russian Federal Nuclear Center – Zababakhin All-Russia Research Institute of Technical Physics"FSUE "Russian Federal Nuclear Center – Zababakhin All-Russia Research Institute of Technical Physics"FSUE "Russian Federal Nuclear Center – Zababakhin All-Russia Research Institute of Technical Physics"Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of ScienceBach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of ScienceBach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Science; Chernyshevsky Saratov State UniversityThe paper describes a TurbidMC code that implements a perturbative Monte Carlo method to model temporal point spread functions and sensitivity functions for time-resolved fluorescence molecular tomography (FMT). The code is aimed at working with a particular FMT method published earlier (Ref. [22]) which defines the specificity of sensitivity function calculation. The method solves the inverse problem first for a generalized fluorescence parameter distribution function and then calculates separate distributions for the fluorophore absorption coefficient and the fluorescence lifetime. The proper operation of the code was verified through a comparison between fluorescence temporal point spread functions from test calculations and data from experiments where a phantom with a fluorophore was scanned with a three-channel probe in the mesoscopic reflectance regime. An example is given on the reconstruction of fluorescence parameter distributions. It shows that the sensitivity functions are calculated correctly.https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470501e.htmlturbidmc codemonte carlo methodfluorescence molecular tomographytemporal point spread functionsensitivity functionfluorophore absorption coefficientfluorescence lifetime |
spellingShingle | S.I. Samarin A.B. Konovalov V.V. Vlasov I.D. Solovyev A.P. Savitsky V.V. Tuchin Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography Компьютерная оптика turbidmc code monte carlo method fluorescence molecular tomography temporal point spread function sensitivity function fluorophore absorption coefficient fluorescence lifetime |
title | Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography |
title_full | Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography |
title_fullStr | Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography |
title_full_unstemmed | Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography |
title_short | Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography |
title_sort | monte carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time resolved fluorescence molecular tomography |
topic | turbidmc code monte carlo method fluorescence molecular tomography temporal point spread function sensitivity function fluorophore absorption coefficient fluorescence lifetime |
url | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470501e.html |
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