Model-based optical and acoustical compensation for photoacoustic tomography of heterogeneous mediums

Pattyn, Alexander; Mumm, Zackary; Alijabbari, Naser; Duric, Nebojsa; Anastasio, Mark A.; Mehrmohammadi, Mohammad

doi:10.1016/j.pacs.2021.100275

Cited by 34 publications

(33 citation statements)

References 42 publications

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“…One application of separating the multi-wavelength image is to compensate for the fluence error in sO 2 imaging [38] , [39] . We can compute sO 2 images using two or three wavelengths from the separated A-lines, i.e., 532&558 545&558, and 532&545&558 nm.…”

Section: Resultsmentioning

confidence: 99%

Two-step proximal gradient descent algorithm for photoacoustic signal unmixing

Liu

Zhu

et al. 2022

Photoacoustics

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Section: Resultsmentioning

confidence: 99%

Two-step proximal gradient descent algorithm for photoacoustic signal unmixing

Liu

Zhu

et al. 2022

Photoacoustics

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“…We have recently reported a combined US and PA tomography system based on a ring geometry [ 52 ]. In our developed breast USPAT (BUSPAT) imaging system, a 200 mm diameter, 256-element ring US transducer (Sound Technology (STI), State College, PA) was used with a center frequency of 1.5 MHz and bandwidth of 60% at a sampling rate of 8.33 MHz to record all ultrasound and photoacoustic data.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 11 c shows the original SS image, PAT image after just SS compensation, and PAT image after both SS and fluence compensation. Figures adopted from [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

Ultrasound and Photoacoustic Imaging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook

Kratkiewicz

Pattyn

Alijabbari

et al. 2022

JCM

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Presently, breast cancer diagnostic methods are dominated by mammography. Although drawbacks of mammography are present including ionizing radiation and patient discomfort, not many alternatives are available. Ultrasound (US) is another method used in the diagnosis of breast cancer, commonly performed on women with dense breasts or in differentiating cysts from solid tumors. Handheld ultrasound (HHUS) and automated breast ultrasound (ABUS) are presently used to generate reflection images which do not contain quantitative information about the tissue. This limitation leads to a subjective interpretation from the sonographer. To rectify the subjective nature of ultrasound, ultrasound tomography (UST) systems have been developed to acquire both reflection and transmission UST (TUST) images. This allows for quantitative assessment of tissue sound speed (SS) and acoustic attenuation which can be used to evaluate the stiffness of the lesions. Another imaging modality being used to detect breast cancer is photoacoustic tomography (PAT). Utilizing much of the same hardware as ultrasound tomography, PAT receives acoustic waves generated from tissue chromophores that are optically excited by a high energy pulsed laser. This allows the user to ideally produce chromophore concentration maps or extract other tissue parameters through spectroscopic PAT. Here, several systems in the area of TUST and PAT are discussed along with their advantages and disadvantages in breast cancer diagnosis. This overview of available systems can provide a landscape of possible intersections and future refinements in cancer diagnosis.

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“…Pattyn et al. 25 proposed a model-based method to compensate for the optical fluence distribution within a heterogeneous physical phantom that mimics a breast. Monte Carlo (MC) simulation was employed, and known optical properties of the phantom were assumed.…”

Section: Introductionmentioning

confidence: 99%

Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast

et al. 2022

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. Significance : In three-dimensional (3D) functional optoacoustic tomography (OAT), wavelength-dependent optical attenuation and nonuniform incident optical fluence limit imaging depth and field of view and can hinder accurate estimation of functional quantities, such as the vascular blood oxygenation. These limitations hinder OAT of large objects, such as a human female breast. Aim : We aim to develop a measurement-data-driven method for normalization of the optical fluence distribution and to investigate blood vasculature detectability and accuracy for estimating vascular blood oxygenation. Approach : The proposed method is based on reasonable assumptions regarding breast anatomy and optical properties. The nonuniform incident optical fluence is estimated based on the illumination geometry in the OAT system, and the depth-dependent optical attenuation is approximated using Beer–Lambert law. Results : Numerical studies demonstrated that the proposed method significantly enhanced blood vessel detectability and improved estimation accuracy of the vascular blood oxygenation from multiwavelength OAT measurements, compared with direct application of spectral linear unmixing without optical fluence compensation. Experimental results showed that the proposed method revealed previously invisible structures in regions deeper than 15 mm and/or near the chest wall. Conclusions : The proposed method provides a straightforward and computationally inexpensive approximation of wavelength-dependent effective optical attenuation and, thus, enables mitigation of the spectral coloring effect in functional 3D OAT imaging.

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Model-based optical and acoustical compensation for photoacoustic tomography of heterogeneous mediums

Cited by 34 publications

References 42 publications

Two-step proximal gradient descent algorithm for photoacoustic signal unmixing

Two-step proximal gradient descent algorithm for photoacoustic signal unmixing

Ultrasound and Photoacoustic Imaging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook

Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast

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