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Diffuse optics for tissue monitoring and tomography
This review describes the diffusion model for light transport in tissues and the medical
applications of diffuse light. Diffuse optics is particularly useful for measurement of tissue …
applications of diffuse light. Diffuse optics is particularly useful for measurement of tissue …
Statistical analysis of fNIRS data: a comprehensive review
Functional near-infrared spectroscopy (fNIRS) is a non-invasive method to measure brain
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …
Coordinate descent algorithms
Coordinate descent algorithms solve optimization problems by successively performing
approximate minimization along coordinate directions or coordinate hyperplanes. They have …
approximate minimization along coordinate directions or coordinate hyperplanes. They have …
Optical tomography: forward and inverse problems
This is a review of recent mathematical and computational advances in optical tomography.
We discuss the physical foundations of forward models for light propagation on microscopic …
We discuss the physical foundations of forward models for light propagation on microscopic …
[کتاب][B] Лазеры и волоконная оптика в биомедицинских исследованиях
В Тучин - 2022 - books.google.com
Рассмотрены принципы работы и характеристики лазеров, волоконных и
микроструктурных световодов, лазерных волоконно-оптических систем, применяемых …
микроструктурных световодов, лазерных волоконно-оптических систем, применяемых …
Practical reconstruction method for bioluminescence tomography
Bioluminescence tomography (BLT) is used to localize and quantify bioluminescent sources
in a small living animal. By advancing bioluminescent imaging to a tomographic framework …
in a small living animal. By advancing bioluminescent imaging to a tomographic framework …
Optical tomography using the time-independent equation of radiative transfer—Part 1: forward model
The presented study consists of two parts. The overall goal is to introduce and
experimentally test a novel optical tomographic imaging algorithm that is based on the …
experimentally test a novel optical tomographic imaging algorithm that is based on the …
Approximation errors and model reduction with an application in optical diffusion tomography
Abstract Model reduction is often required in several applications, typically due to limited
available time, computer memory or other restrictions. In problems that are related to partial …
available time, computer memory or other restrictions. In problems that are related to partial …
Fluorescence optical diffusion tomography
A nonlinear, Bayesian optimization scheme is presented for reconstructing fluorescent yield
and lifetime, the absorption coefficient, and the diffusion coefficient in turbid media, such as …
and lifetime, the absorption coefficient, and the diffusion coefficient in turbid media, such as …
On greedy randomized coordinate descent methods for solving large linear least‐squares problems
For solving large scale linear least‐squares problem by iteration methods, we introduce an
effective probability criterion for selecting the working columns from the coefficient matrix …
effective probability criterion for selecting the working columns from the coefficient matrix …