Monte Carlo modeling of photon migration in realistic human thoracic tissues for noninvasive monitoring of cardiac hemodynamics

Liu, Weichao; Chen, Wenjing; Fang, Xiang; Li, Yingxin; Li, Ting

doi:10.1002/jbio.201900148

Cited by 3 publications

(7 citation statements)

References 57 publications

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“… 36 After collecting all the SSD value of voxels, the SSD of the whole model was calculated by summing all these voxel SSD value. 36 At the same time, the SSD of a specific tissue was calculated by summing all the voxel SSD value of this tissue. 37 The ratio of the SSD of a specific tissue to total SSD represented the involvement of this tissue type in the light transportation 35 – 37

…”

Section: Methodsmentioning

confidence: 99%

“…Then (SSD(rS→,rD→,rm→)) of the individual voxel was calculated by the three-point Green’s Eq. (2) 36 . F(rD→,rm→) indicated the light fluence of a voxel (rm→) at the (rD→) location 36 .…”

Section: Methodsmentioning

confidence: 99%

“…(2) 36 . F(rD→,rm→) indicated the light fluence of a voxel (rm→) at the (rD→) location 36 . After collecting all the SSD value of voxels, the SSD of the whole model was calculated by summing all these voxel SSD value 36 .…”

Section: Methodsmentioning

confidence: 99%

“…F(rD→,rm→) indicated the light fluence of a voxel (rm→) at the (rD→) location 36 . After collecting all the SSD value of voxels, the SSD of the whole model was calculated by summing all these voxel SSD value 36 . At the same time, the SSD of a specific tissue was calculated by summing all the voxel SSD value of this tissue 37 .…”

Section: Methodsmentioning

confidence: 99%

“…At the same time, the SSD of a specific tissue was calculated by summing all the voxel SSD value of this tissue 37 . The ratio of the SSD of a specific tissue to total SSD represented the involvement of this tissue type in the light transportation 35 – 37 F(rs→,rm→)=A(rs→,rm→)μa(rm→),SSD(rS→,rD→,rm→)=F(rS→,rm→)×F(rD→,rm→).…”

Section: Methodsmentioning

confidence: 99%

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Noninvasive optical monitoring of pulmonary embolism: a Monte Carlo study on visible Chinese human thoracic tissues

meng

Guo

et al. 2023

J. Biomed. Opt.

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. Significance In recent years, the incidence rate of pulmonary embolism (PE) has increased dramatically. Currently, the correct diagnosis rate of PE in China is relatively low, and the diagnosis error rate and missed diagnosis rate were as high as about 80%. The most standard method of PE detection is pulmonary artery digital subtraction angiography (DSA), but pulmonary artery DSA is an invasive examination, and patients can have certain risks and discomfort. Noninvasive monitoring of PE remains challenging in cardiovascular medicine. Aim We attempt to study the light propagation in human thoracic tissues and explore the possibility of near-infrared spectroscopy (NIRS) in noninvasive detection of PE. Approach In this study, by utilizing the Monte Carlo simulation method for voxelized media and the Visible Chinese Human dataset, we quantified and visualized the photon migration in human thoracic region. The influence of the development (three levels) of PE on the light migration was observed. Results Results showed that around 4.6% light fluence was absorbed by the pulmonary tissue. The maximum signal sensitivity distribution reached 0.073% at the 2.8- to 3.1-cm light source–detector separation. The normalized light intensity was significantly different among different PE levels and formed a linear relationship ( , ). Conclusions The study found that photons could reach the pulmonary artery tissue, the light intensity was linearly related to the degrees of embolism, PE could be quantitatively diagnosed by NIRS. Meanwhile, the optimized distance in between the light source and detector, 2.8 to 3.1 cm, was recommended to be used in future potential noninvasive optical diagnosis of PE.

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…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Noninvasive optical monitoring of pulmonary embolism: a Monte Carlo study on visible Chinese human thoracic tissues

meng

Guo

et al. 2023

J. Biomed. Opt.

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Noninvasive cardiac hemodynamics monitoring of acute myocardial ischemia in rats using near‐infrared spectroscopy: A pilot study

Chen,

Li,

Pan

et al. 2024

Journal of Biophotonics

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Noninvasive and real‐time optical detection of cardiac hemodynamics dysfunction during myocardial ischemia remains challenging. In this study, we developed a near‐infrared spectroscopy device to monitor rats' myocardial hemodynamics. The well‐designed system can accurately reflect the hemodynamics changes by the classic upper limb ischemia test. Systemic hypoxia by disconnecting to the ventilator and cardiac ischemia by coronary artery slipknot ligation was conducted to monitor myocardial hemodynamics. When systemic hypoxia occurred, ΔHbR and ΔtHb increased significantly, whereas ΔHbO decreased rapidly. When coronary blood flow was obstructed by slipknots, cardiothoracic ΔHbO immediately begins to decline, while ΔHbR also significantly increases. Simultaneously, SpO2 did not show any obvious changes during myocardial ischemia, while SpO2 decreased significantly during systemic hypoxia. These results demonstrated that cardiothoracic hemodynamics stemmed from myocardial ischemia. This pilot study demonstrated the practicality of noninvasive, low‐cost optical monitoring for cardiac oxygenation dysfunction in rats.

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Non-invasive optical monitoring of human lungs: Monte Carlo modeling of photon migration in Visible Chinese Human and an experimental test on a human

Guo¹,

meng²,

Su³

et al. 2022

Biomed. Opt. Express

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The human lung was quantified and visualized by photon transport in this paper. A Monte Carlo (MC) simulation of voxelized media was used with the visible Chinese human (VCH). This study theoretically explored the feasibility of non-invasive optical detection of pulmonary hemodynamics, and investigated the optimal location of the light source in the lung photon migration and optimized the source-detector distance. The light fluence intensity showed that the photon penetration depth was 6-8.4 mm in the human lung. The optimal distance from the light source to the detector was 2.7-2.9 cm, but the optimal distance of the superior lobe of right lung was 3.3-3.5 cm. We then conducted experiments on diffuse light reflectance using NIRS on 14 volunteers. These measurements agree well with the simulation results. All the results demonstrated the great potential of non-invasive monitoring of pulmonary hemodynamics and contribute to the study of human lungs in the biomedical optics community

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Monte Carlo modeling of photon migration in realistic human thoracic tissues for noninvasive monitoring of cardiac hemodynamics

Cited by 3 publications

References 57 publications

Noninvasive optical monitoring of pulmonary embolism: a Monte Carlo study on visible Chinese human thoracic tissues

Noninvasive optical monitoring of pulmonary embolism: a Monte Carlo study on visible Chinese human thoracic tissues

Noninvasive cardiac hemodynamics monitoring of acute myocardial ischemia in rats using near‐infrared spectroscopy: A pilot study

Non-invasive optical monitoring of human lungs: Monte Carlo modeling of photon migration in Visible Chinese Human and an experimental test on a human

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