Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue

Huda, Kristie; Bayer, Carolyn L.

doi:10.1117/12.2545155

Cited by 3 publications

(2 citation statements)

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“…The placenta shown in this work was relatively superficial and unobstructed, and yet fluence compensation still significantly changed the measured StO 2 and HbT of the placental volume. These results agree with similar results in the field [60, 107]. Fluence compensation can allow more accurate access to information across the entire placenta in utero and at earlier time points when the placentas may be more hidden under vital maternal organs.…”

Section: Resultssupporting

confidence: 90%

Ultrasound-guided Photoacoustic image Annotation Toolkit in MATLAB (PHANTOM) for preclinical applications

Sweeney,

Arora,

Edwards

et al. 2023

Preprint

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Depth-dependent fluence-compensation in photoacoustic (PA) imaging is paramount for accurate quantification of chromophores from deep tissues. Here we present a user-friendly toolkit named PHANTOM (PHotoacoustic ANnotation TOolkit for MATLAB) that includes a graphical interface and assists in the segmentation of ultrasound-guided PA images. We modelled the light source configuration with Monte Carlo eXtreme and utilized 3D segmented tissues from ultrasound to generate fluence maps to depth compensate PA images. The methodology was used to analyze PA images of phantoms with varying blood oxygenation and results were validated with oxygen electrode measurements. Two preclinical models, a subcutaneous tumor and a calcified placenta, were imaged and fluence-compensated using the PHANTOM toolkit and the results were verified with immunohistochemistry. The PHANTOM toolkit provides scripts and auxiliary functions to enable biomedical researchers not specialized in optical imaging to apply fluence correction to PA images, enhancing accessibility of quantitative PAI for researchers in various fields.

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Section: Resultssupporting

confidence: 90%

Ultrasound-guided Photoacoustic image Annotation Toolkit in MATLAB (PHANTOM) for preclinical applications

Sweeney,

Arora,

Edwards

et al. 2023

Preprint

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show abstract

“…The accuracy of our StO 2 measurements can be improved with depth-dependent changes in fluence estimated using Monte Carlo simulations (67,68), by obtaining wavelength-dependent optical attenuation measured using photoacoustic spectra of 25µm-thick black film (69), using ultrasonic tagging of light (70), utilizing radiofrequency photoacoustic spectra (71), or using signal-to-noise ratio-regularized local fluence correction (72). More recently, deep learning methodologies for spectral unmixing of photoacoustic signals have also been proposed for accurate StO 2 measurements (73,74).…”

Section: Discussionmentioning

confidence: 99%

3D Ultrasound-Guided Photoacoustic Imaging to Monitor the Effects of Suboptimal Tyrosine Kinase Inhibitor Therapy in Pancreatic Tumors

et al. 2022

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Pancreatic cancer is a disease with an incredibly poor survival rate. As only about 20% of patients are eligible for surgical resection, neoadjuvant treatments that can relieve symptoms and shrink tumors for surgical resection become critical. Many forms of treatments rely on increased vulnerability of cancerous cells, but tumors or regions within the tumors that may be hypoxic could be drug resistant. Particularly for neoadjuvant therapies such as the tyrosine kinase inhibitors utilized to shrink tumors, it is critical to monitor changes in vascular function and hypoxia to predict treatment efficacy. Current clinical imaging modalities used to obtain structural and functional information regarding hypoxia or oxygen saturation (StO2) do not provide sufficient depth penetration or require the use of exogenous contrast agents. Recently, ultrasound-guided photoacoustic imaging (US-PAI) has garnered significant popularity, as it can noninvasively provide multiparametric information on tumor vasculature and function without the need for contrast agents. Here, we built upon existing literature on US-PAI and demonstrate the importance of changes in StO2 values to predict treatment response, particularly tumor growth rate, when the outcomes are suboptimal. Specifically, we image xenograft mouse models of pancreatic adenocarcinoma treated with suboptimal doses of a tyrosine kinase inhibitor cabozantinib. We utilize the US-PAI data to develop a multivariate regression model that demonstrates that a therapy-induced reduction in tumor growth rate can be predicted with 100% positive predictive power and a moderate (58.33%) negative predictive power when a combination of pretreatment tumor volume and changes in StO2 values pretreatment and immediately posttreatment was employed. Overall, our study indicates that US-PAI has the potential to provide label-free surrogate imaging biomarkers that can predict tumor growth rate in suboptimal therapy.

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Functional Photoacoustic Imaging for Placental Monitoring: A Mini Review

Vincely

Bayer

2023

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue

Cited by 3 publications

References 0 publications

Ultrasound-guided Photoacoustic image Annotation Toolkit in MATLAB (PHANTOM) for preclinical applications

Ultrasound-guided Photoacoustic image Annotation Toolkit in MATLAB (PHANTOM) for preclinical applications

3D Ultrasound-Guided Photoacoustic Imaging to Monitor the Effects of Suboptimal Tyrosine Kinase Inhibitor Therapy in Pancreatic Tumors

Functional Photoacoustic Imaging for Placental Monitoring: A Mini Review

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