Monitoring of Tissue Oxygenation: an Everyday Clinical Challenge

Molnár, Zsolt; Németh, Márton

doi:10.3389/fmed.2017.00247

Cited by 19 publications

(17 citation statements)

References 52 publications

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“…The oxygen extraction rate (OER in Fig.4c), an indication of the oxygen uptake by cells, was calculated as OER=(O ca -O cv )/O ca , whereby O ca and O cv is the oxygen saturation in the central artery and vein, respectively 27 . We observed that OER slightly dropped shortly after the Air supply period, suggesting a delayed response in cell oxygenation.…”

Section: Resultsmentioning

confidence: 99%

Frequency Comb Optoacoustic Tomography

Stylogiannis

Prade

Glasl

et al. 2021

Preprint

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Optoacoustics (OA) is overwhelmingly implemented in the Time Domain (TD) to achieve a high Signal-to-Noise-Ratio (SNR). Implementations in the Frequency Domain (FD) have been proposed, but have not offered competitive advantages over TD methods to reach high dissemination. It is therefore commonly believed that the TD represents the optimal way of performing optoacoustics. Here, we introduce a novel optoacoustic concept based on frequency comb and theoretically demonstrate its superiority to the TD. Then, using recent advances in laser diode illumination, we launch Frequency Comb Optoacoustic Tomography (FCOT), at multiple wavelengths, and experimentally demonstrate its advantages over TD methods in phantoms and in-vivo. We demonstrate that FCOT optimizes the SNR of spectral measurements over TD methods by benefiting from signal acquisition in the TD and processing in the FD, and that it reaches the fastest multi-spectral operation ever demonstrated in optoacoustics while reducing performance compromises present in TD systems.

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Section: Resultsmentioning

confidence: 99%

Frequency Comb Optoacoustic Tomography

Stylogiannis

Prade

Glasl

et al. 2021

Preprint

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“…Information on the molecular composition of tissue types is sparse and scattered throughout the literature. SIMPA models the properties of different skin layers and muscle tissue using the review article of Bashkatov et al., 55 melanin content in the epidermis using Alaluf et al., 56 the water volume fractions of different tissue types in the human body using Timmins and Wall 57 and Forbes et al., 58 and the distribution of arterial and venous blood oxygenations using Molnar and Nemeth 59 and Merrick and Hayes. 60…”

Section: Simpa Toolkitmentioning

confidence: 99%

SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics

et al. 2022

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. Significance: Optical and acoustic imaging techniques enable noninvasive visualisation of structural and functional properties of tissue. The quantification of measurements, however, remains challenging due to the inverse problems that must be solved. Emerging data-driven approaches are promising, but they rely heavily on the presence of high-quality simulations across a range of wavelengths due to the lack of ground truth knowledge of tissue acoustical and optical properties in realistic settings. Aim: To facilitate this process, we present the open-source simulation and image processing for photonics and acoustics (SIMPA) Python toolkit. SIMPA is being developed according to modern software design standards. Approach: SIMPA enables the use of computational forward models, data processing algorithms, and digital device twins to simulate realistic images within a single pipeline. SIMPA’s module implementations can be seamlessly exchanged as SIMPA abstracts from the concrete implementation of each forward model and builds the simulation pipeline in a modular fashion. Furthermore, SIMPA provides comprehensive libraries of biological structures, such as vessels, as well as optical and acoustic properties and other functionalities for the generation of realistic tissue models. Results: To showcase the capabilities of SIMPA, we show examples in the context of photoacoustic imaging: the diversity of creatable tissue models, the customisability of a simulation pipeline, and the degree of realism of the simulations. Conclusions: SIMPA is an open-source toolkit that can be used to simulate optical and acoustic imaging modalities. The code is available at: https://github.com/IMSY-DKFZ/simpa , and all of the examples and experiments in this paper can be reproduced using the code available at: https://github.com/IMSY-DKFZ/simpa_paper_experiments .

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“…La extracción de oxígeno (O 2 ER) es la relación entre el VO 2 y el aporte de oxígeno (DO 2 ) 11 . La O 2 ER representa el porcentaje de oxígeno que la célula extrae de la sangre arterial.…”

Section: Evaluación De La Extracción De Oxígenounclassified

Evaluación hemodinámica en escenarios con recursos limitados

Zamora-Gómez¹,

Toledo-Rivera²,

Gorordo-Delsol³

et al. 2019

REIE

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sin embargo, muchos hospitales operan con recursos limitados. Esta heterogeneidad es habitual en países de todos los niveles socioeconómicos, por ello el médico debe aprender las bases fisiológicas y los métodos simples, de los que se dispone en la mayoría de los entornos, y evaluar las ventanas clínicas y paraclínicas de forma sistematizada para detectar e intervenir de forma eficaz en pro de la salud del paciente. Este trabajo sintetiza tres aspectos clínicos: el análisis de la captación, traslado, entrega y consumo de oxígeno y cómo modificar estos pasos de forma sencilla con el soporte gasométrico y ecográfico.

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Monitoring of Tissue Oxygenation: an Everyday Clinical Challenge

Cited by 19 publications

References 52 publications

Frequency Comb Optoacoustic Tomography

Frequency Comb Optoacoustic Tomography

SIMPA: an open-source toolkit for simulation and image processing for photonics and acoustics

Evaluación hemodinámica en escenarios con recursos limitados

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