Simplified-Delay-Multiply-and-Sum-Based Promising Beamformer for Real-Time Photoacoustic Imaging

Paul, Souradip; Mulani, Sufayan; Daimary, Nilanjana; Singh, Mayanglambam Suheshkumar

doi:10.1109/tim.2022.3187734

Cited by 20 publications

(8 citation statements)

References 37 publications

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“…[13][14][15][16] The reconstructed PA images of the coagulated lesion area were generated using linear array and circular array-based transducer. [17][18][19][20][21][22][23] Both reconstructions are well-matched with the theoretically calculated lesion size. However, in terms of accuracy and image quality, the efficacy of a circular array is more dominating.…”

Section: Introductionsupporting

confidence: 60%

Simulation of HIFU based lesion variation and its monitoring using photoacoustic imaging

Yadav¹,

Paul²,

KS³

et al. 2023

Photons Plus Ultrasound: Imaging and Sensing 2023

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In the past two decades, High-Intensity Focused Ultrasound (HIFU) has been actively investigated for inducing tissue ablation for tumours, healing arteries and even skin tightening for inducing facelifts. Being a non-contact and non-invasive procedure, HIFU is an attractive alternative over other procedures like radio-frequency ablations and microwave ablations as these are semi-invasive methods. Computer simulations in this domain can provide us with a fast-track way to test and deduce results virtually before conducting related experiments. In this study, we simulated the properties of bovine liver tissue virtually in a MATLAB-based k-Wave toolbox to track lesion variations with varying HIFU on-time and with a constant amount of heat deposition. Photoacoustic reconstructions were also carried out with a linear and circular array of transducers using the simple Delay-And-Sum (DAS) algorithm to access the real-time imaging capability of this technique for HIFU therapy. All the results obtained are discussed and validated. This study will, in general, aid in deciding the HIFU configuration and operational parameters with respect to the tissue type, lesion size, and lesion location within the tissue.

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Section: Introductionsupporting

confidence: 60%

Simulation of HIFU based lesion variation and its monitoring using photoacoustic imaging

Yadav¹,

Paul²,

KS³

et al. 2023

Photons Plus Ultrasound: Imaging and Sensing 2023

Self Cite

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show abstract

“…To overcome this, strategies like deep learning and iterative reconstruction approaches can be employed 49 – 51 . Moreover, various algorithms can further enhance image resolution and frame generation rate 52 – 54 . In our future work, we plan to carry out postoperative histological analysis of irreversible electroporation (IRE) treatment and compare the results with EAT images.…”

Section: Discussionmentioning

confidence: 99%

Electroacoustic tomography for real-time visualization of electrical field dynamics in deep tissue during electroporation

Xu,

Sun,

Wang

et al. 2023

Commun Eng

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Despite the widespread applications of electroporation in biotechnology and medicine, monitoring the distribution of deep tissue electrical fields in real-time during treatment continues to pose a challenge. Current medical imaging modalities are unable to monitor electroporation during pulse delivery. Here we propose a method to use electroacoustic tomography (EAT) to prompt the emission of broadband ultrasound waves via electrical energy deposition. EAT boasts submillimeter resolution at depths reaching 7.5 centimeters and can deliver imaging speeds up to 100 frames per second when paired with an ultrasound array system. We’ve successfully detected EAT signals at electric field strengths ranging from 60 volts per centimeter to several tens of kilovolts per centimeter. This establishes EAT as a potential label-free, high-resolution approach for real-time evaluation of deep tissue electroporation during therapeutic procedures.

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“…Compare the image quality acquired by PMUT to that of a home-built (photoacoustic tomography)PAT imaging device 27,28 to evaluate its performance. Chicken breast tissue (∼ 40mm × 30mm × 15mm) was used as an (exvivo) imaging sample.…”

Section: Chicken Breast Ex-vivo Imagingmentioning

confidence: 99%

Image quality enhancement of PMUT-based photoacoustic imaging

Paramanick¹,

Roy²,

Samanta³

et al. 2023

Photons Plus Ultrasound: Imaging and Sensing 2023

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Photoacoustic imaging (PAI) is now a very promising imaging technique that provides image with sufficient depth, good resolution, and optical contrast. A conventional PAI system is relatively expensive and mechanically bulky. The study demonstrated that MEMS PMUT achieves miniaturized ultrasound (US) sensor element (either single element or an array of elements) with superior performance in terms of power consumption, flexibility, broader bandwidth, and sensitivity. This implies that these technologically novel qualities hold promise for the use of PMUT as an acoustic sensor in PAI systems in place of the conventional piezoelectric bulk element-based spherical ultrasound (US) transducer. We report our study on the design and development of MEMS PMUT−(central frequency ~ 1MHz) based PAM−that integrates MEMS technology and imaging technology (specifically, photoacoustic imaging (PAI)). In this work, we present a temporal integration of the signals over a certain number (~20) of pulsed light-induced PA waves against the conventional technique to acquire a single 1D PA signals/data corresponding to one individual optical pulse−induced PA waves. This means to say that the enhancement of imaging performance with the use of PMUT acoustic sensor is associated with a reduction of obtainable temporal resolution, i.e., a trade-off exists. With the applied temporal integration method SNR has been improved ~ 20dB. The preliminary study demonstrates that the integration of PMUT in PA imaging modality holds promise as a future (imaging) technology both for biological studies and their applications.

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Simplified-Delay-Multiply-and-Sum-Based Promising Beamformer for Real-Time Photoacoustic Imaging

Cited by 20 publications

References 37 publications

Simulation of HIFU based lesion variation and its monitoring using photoacoustic imaging

Simulation of HIFU based lesion variation and its monitoring using photoacoustic imaging

Electroacoustic tomography for real-time visualization of electrical field dynamics in deep tissue during electroporation

Image quality enhancement of PMUT-based photoacoustic imaging

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