Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yevhen Zelinskyi"'
Publikováno v:
Diffuse Optical Spectroscopy and Imaging VIII.
We present a multi-layered and voxel-based Monte Carlo methods with auxiliary utilities implemented in Python for user-friendly, open-source and multi-purpose modeling of light propagation in turbid media based on PyOpenCL computational platform.
Publikováno v:
Diffuse Optical Spectroscopy and Imaging VIII.
Publikováno v:
Design and Quality for Biomedical Technologies XIII.
Publikováno v:
Biomed Opt Express
Biomedical optics express, vol. 11, no. 7, 391163, pp. 3875-3889, 2020.
Biomedical optics express, vol. 11, no. 7, 391163, pp. 3875-3889, 2020.
In this work, we introduce a framework for efficient and accurate Monte Carlo (MC) simulations of spatially resolved reflectance (SRR) acquired by optical fiber probes that account for all the details of the probe tip including reflectivity of the st
Publikováno v:
Optical Interactions with Tissue and Cells XXXI.
Reflectance spectroscopy shows itself as a useful tool to characterize turbid media, such as biological tissues. The light backscattered from the medium is usually collected by imaging systems or optical fiber probes. In this work we used an optical
Publikováno v:
Biomedical optics express, vol. 11, no. 4, 387619, pp. 1901-1918, 2020.
Monodisperse polystyrene microspheres are often utilized in optical phantoms since optical properties such as the scattering coefficient and the scattering phase function can be calculated using the Mie theory. However, the calculated values depend o
Publikováno v:
Molecular-Guided Surgery: Molecules, Devices, and Applications V.
Publikováno v:
High-Speed Biomedical Imaging and Spectroscopy IV.
To overcome the drawbacks of the commonly used lookup table inverse models, we propose a novel custom OpenCL™- accelerated artificial neural network inverse model for spatial frequency domain imaging (https://bitbucket.org/xopto /rftroop). Utilizin
Publikováno v:
Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XIX.
Stochastic Monte Carlo method (MC) is often used to model light propagation in biological tissues. Since many photon packets need to be process to attain good quality of the simulated data, the experimental geometry in MC simulations is usually subst
Autor:
Jošt Stergar, Borut Kumperščak, Matija Milanič, Jure Novak, Luka Rogelj, Miran Bürmen, Yevhen Zelinskyi, Peter Naglič
Publikováno v:
Biomedical Optics Express. 11:4275
We corrected the label of the reduced scattering coefficient in Fig. 11 of our recently published paper (Biomed. Opt. Express 11, 3753 (2020)).