Optical, contact-free assessment of brain tissue stiffness and neurodegeneration DOI Creative Commons
Philip Binner, Ilya Starshynov, Gonzalo S. Tejeda

и другие.

Biomedical Optics Express, Год журнала: 2024, Номер 16(2), С. 447 - 447

Опубликована: Дек. 19, 2024

Dementia affects a large proportion of the world's population. Approaches that allow for early disease detection and non-invasive monitoring progression are desperately needed. Current approaches centred on costly imaging technologies such as positron emission tomography magnetic resonance imaging. We propose an alternative approach to assess neurodegeneration based diffuse correlation spectroscopy (DCS), remote optical sensing technique. employ this in mouse brains from healthy animals those with prion disease. find statistically significant difference speckle decorrelation times between prion-diseased animals. directly calibrated our DCS technique using hydrogel samples varying Young's modulus, indicating we can optically measure changes brain tissue stiffness order 60 Pa (corresponding 1 s change time). holds promise contact-free assessment alteration due neurodegeneration, similar sensitivity contact-based (e.g. nanoindentation) approaches.

Язык: Английский

Fast Blood Flow Index Reconstruction of Diffuse Correlation Spectroscopy Using a Back-Propagation-Free Data-Driven Algorithm DOI Creative Commons
Zhenya Zang, Mingliang Pan, Yuanzhe Zhang

и другие.

Biomedical Optics Express, Год журнала: 2025, Номер 16(3), С. 1254 - 1254

Опубликована: Фев. 13, 2025

This study introduces a fast and accurate online training method for blood flow index (BFI) relative BFI (rBFI) reconstruction in diffuse correlation spectroscopy (DCS). We implement rigorous mathematical models to simulate the auto-correlation functions (g 2) semi-infinite homogeneous three-layer human brain models. implemented algorithm known as random vector functional link (RVFL) reconstruct from noisy g 2. extensively evaluated RVFL regarding both speed accuracy inference. Moreover, we compared with extreme learning machine (ELM) architecture, conventional convolutional neural network (CNN), three fitting algorithms. Results indicate that achieves higher than other algorithms, evidenced by comprehensive metrics. While offers comparable CNNs, it boosts speeds are 3900-fold faster inference 19.8-fold faster, enhancing its generalizability across different experimental settings. also used 2 one- Monte Carlo (MC)-based in-silico simulations, well analytical models, compare consistency of results obtained ELM. Furthermore, discuss how is more suitable embedded hardware due lower computational complexity ELM CNN

Язык: Английский

Процитировано

0
Fast Multi-Distance Time-Domain NIRS and DCS System for Clinical Applications DOI Creative Commons
Marco Nabacino, Caterina Amendola, Davide Contini

и другие.

Sensors, Год журнала: 2024, Номер 24(22), С. 7375 - 7375

Опубликована: Ноя. 19, 2024

We have designed and built an improved system for combined Time-Domain Near-Infrared Spectroscopy (TD NIRS) Diffuse Correlation (DCS) measurements. The features two independent channels, enabling TD NIRS DCS acquisition at short long source-detector distances to enhance depth sensitivity in layered tissues. Moreover, the device can operate fast rates (up 50 Hz) monitor hemodynamic oscillations biological An OEM (Original Equipment Manufacturer) enables stable robust of photon distribution time-of-flight. For signals, use a time tagger software correlator allows us flexibility post-processing. A user-friendly GUI controls data online analysis. present results characterization on calibrated tissue phantoms according standardized protocols performance assessment devices. In-vivo measurements during rest vascular occlusions are also reported validate real settings.

Язык: Английский

Процитировано

2
Proof of concept validation of bioresorbable optical fibers for diffuse correlation spectroscopy DOI Creative Commons
Jawad Talekkara Pandayil, Nadia G. Boetti, Davide Janner

и другие.

Biomedical Optics Express, Год журнала: 2024, Номер 15(11), С. 6384 - 6384

Опубликована: Окт. 7, 2024

Optical quality bioresorbable materials have been gaining interest in recent years for various interstitial biomedical/medical application. An example of this is when the implant gradually dissolves body, providing physiological information over extended periods time, hence reducing need revision surgeries. This study reports first time in-house fabrication single mode (at 785 nm) calcium phosphate glass (CPG) based optical fibers and investigates their suitability microvascular blood flow monitoring using diffuse correlation spectroscopy (DCS).

Язык: Английский

Процитировано

1
Optical, contact-free assessment of brain tissue stiffness and neurodegeneration DOI Creative Commons
Philip Binner, Ilya Starshynov, Gonzalo S. Tejeda

и другие.

Biomedical Optics Express, Год журнала: 2024, Номер 16(2), С. 447 - 447

Опубликована: Дек. 19, 2024

Dementia affects a large proportion of the world's population. Approaches that allow for early disease detection and non-invasive monitoring progression are desperately needed. Current approaches centred on costly imaging technologies such as positron emission tomography magnetic resonance imaging. We propose an alternative approach to assess neurodegeneration based diffuse correlation spectroscopy (DCS), remote optical sensing technique. employ this in mouse brains from healthy animals those with prion disease. find statistically significant difference speckle decorrelation times between prion-diseased animals. directly calibrated our DCS technique using hydrogel samples varying Young's modulus, indicating we can optically measure changes brain tissue stiffness order 60 Pa (corresponding 1 s change time). holds promise contact-free assessment alteration due neurodegeneration, similar sensitivity contact-based (e.g. nanoindentation) approaches.

Язык: Английский

Процитировано

0