Light propagation in biological tissue

Asllanaj, Fatmir; Contassot-Vivier, Sylvain; Hohmann, Ansgar; Kienle, Alwin

doi:10.1016/j.jqsrt.2018.11.001

Cited by 10 publications

(6 citation statements)

References 38 publications

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“…6(b)). The subcutaneous breast cancer tissue, on which the experimental trials have been performed, is a dynamic and highly complex turbid media, in which the light propagation and subsequent photothermal conversion are regulated by the intrinsic tissue optical and physical properties [39]. Despite the difficulty to estimate the optical properties of the specific samples, our attained FBG-based temperature measurements in PBS controls are in accordance with the optical properties calculated for the skin and breast tissue [40], [41].…”

Section: High-resolved Thermal Evaluation Of In Vivo Aunrenhanced Ptt In the Tumor Modelsupporting

confidence: 72%

Fiber Bragg Grating Sensors-Based Thermometry of Gold Nanorod-Enhanced Photothermal Therapy in Tumor Model

et al. 2022

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This work proposes the use of femtosecond laserwritten Fiber Bragg grating (FBG) sensors for internal temperature monitoring of tumors undergoing gold nanorod (AuNR)-mediated photothermal therapy (PTT). Arrays of submillimetric FBGs enabled an accurate and quasi-distributed temperature measurement within subcutaneous breast tumors in mice. Furthermore, FBGs permitted to investigate the lasertissue interaction and AuNR-assisted photothermal enhancement on cancerous tissue exposed to 940 nm and 1064 nm radiations. The introduction of the tumor-localized AuNRs resulted in an overall increase of 13 °C of the mean temperature change, compared to control, in case of 1064 nm, while ~6 °C in case of 940 nm. This sensing solution allows the minimally invasive measurement of the internal tumor temperature under AuNR-assisted PTT. This feasibility study sets the basis for the evaluation of the thermal outcome mediated by nanoparticles under different laser sources.

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Section: High-resolved Thermal Evaluation Of In Vivo Aunrenhanced Ptt In the Tumor Modelsupporting

confidence: 72%

Fiber Bragg Grating Sensors-Based Thermometry of Gold Nanorod-Enhanced Photothermal Therapy in Tumor Model

et al. 2022

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“…The MFVM is thus qualified as a highly accurate method compared to other deterministic numerical methods available in the literature. Relative differences of <1.5% were obtained in comparison with the Monte‐Carlo reference solution for some selected problems . The methodology of the employed method is not repeated here, we refer the reader to Ref.…”

Section: Forward Modelmentioning

confidence: 99%

“…Relative differences of <1.5% were obtained in comparison with the Monte-Carlo reference solution for some selected problems. 20 The methodology of the employed method is not repeated here, we refer the reader to Ref. 20 for comprehensive details.…”

Section: Forward Modelmentioning

confidence: 99%

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Three‐dimensional frequency‐domain optical anisotropy imaging of biological tissues with near‐infrared light

2019

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Purpose Near‐infrared optical imaging aims to reconstruct the absorption μa and scattering μs coefficients in order to detect tumors at early stage. However, the reconstructions have only been limited to μa and μs due to theoretical and computational limitations. The authors propose an efficient method of the reconstruction, in three‐dimensional geometries, of the anisotropy factor g of the Henyey–Greenstein phase function as a new optical imaging biomarker. Methods The light propagation in biological tissues is accurately modeled by the radiative transfer equation (RTE) in the frequency‐domain. The reconstruction algorithm is based on a gradient‐based updating scheme. The adjoint method is used to efficiently compute the gradient of the objective function which represents the discrepancy between simulated and measured boundary data. A parallel implementation is carried out to reduce the computational time. Results We show that by illuminating only one surface of a tissue‐like phantom, the algorithm is able to accurately reconstruct optical values and different shapes (spherical and cylindrical) that characterize small tumor‐like inclusions. Numerical simulations show the robustness of the algorithm to reconstruct the anisotropy factor with different contrast levels, inclusion depths, initial guesses, heterogeneous background, noise levels, and two‐layered medium. The crosstalk problem when reconstructing simultaneously μs and g has been reported and achieved with a reasonable quality. Conclusions The proposed RTE‐based reconstruction algorithm is robust to spatially retrieve and localize small tumoral inclusions. Heterogeneities in g‐factor have been accurately reconstructed which makes the new algorithm a candidate of choice to image this factor as new intrinsic contrast biomarker for optical imaging.

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“…Simulations are also a common prerequisite for the validation of image reconstruction, correction or modelling algorithms with the rationale of incorporating ‘known’ input data [8–12]. With respect to in vivo bioluminescence imaging (BLI) and fluorescence-mediated imaging (FMI), the objectives for simulating photon fluence extend to supporting a better understanding of light distribution within heterogeneous tissue, and to understanding the inverse relationship between measured light field and tissue optical properties [13–16]. Simulations in magnetic resonance imaging (MRI) have been demonstrated to be beneficial, e.g.…”

Section: Introductionmentioning

confidence: 99%

Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences

Peter

2021

Phil. Trans. R. Soc. A.

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A software-based workflow is proposed for managing the execution of simulation and image reconstruction for SPECT, PET, CBCT, MRI, BLI and FMI packages in single and multimodal biomedical imaging applications. The workflow is composed of a Bash script, the purpose of which is to provide an interface to the user, and to organize data flow between dedicated programs for simulation and reconstruction. The currently incorporated simulation programs comprise GATE for Monte Carlo simulation of SPECT, PET and CBCT, SpinScenario for simulating MRI, and Lipros for Monte Carlo simulation of BLI and FMI. Currently incorporated image reconstruction programs include CASToR for SPECT and PET as well as RTK for CBCT. MetaImage (mhd) standard is used for voxelized phantom and image data format. Meshlab project (mlp) containers incorporating polygon meshes and point clouds defined by the Stanford triangle format (ply) are employed to represent anatomical structures for optical simulation, and to represent tumour cell inserts. A number of auxiliary programs have been developed for data transformation and adaptive parameter assignment. The software workflow uses fully automatic distribution to, and consolidation from, any number of Linux workstations and CPU cores. Example data are presented for clinical SPECT, PET and MRI systems using the Mida head phantom and for preclinical X-ray, PET and BLI systems employing the Digimouse phantom. The presented method unifies and simplifies multimodal simulation setup and image reconstruction management and might be of value for synergistic image research. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 2’.

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Light propagation in biological tissue

Cited by 10 publications

References 38 publications

Fiber Bragg Grating Sensors-Based Thermometry of Gold Nanorod-Enhanced Photothermal Therapy in Tumor Model

Fiber Bragg Grating Sensors-Based Thermometry of Gold Nanorod-Enhanced Photothermal Therapy in Tumor Model

Three‐dimensional frequency‐domain optical anisotropy imaging of biological tissues with near‐infrared light

Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences

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