Delay-and-sum-to-delay-standard-deviation factor: a promising adaptive beamformer

Paul, Souradip; Thomas, Anjali; Singh, Mayanglambam Suheshkumar

doi:10.1364/ol.437394

Cited by 16 publications

(9 citation statements)

References 15 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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“…The raw data generated from experimental result gives 3D reconstructed image, which is then modified using SAFT 10 along side with DMAS. 11 After doing the MAP of anterior segments of the eye, iris and pupil can be identified.…”

Section: Discussionmentioning

confidence: 99%

Ocular imaging of Carassius auratus eyes using photoacoustic microscopy

Samanta¹,

Mathew²,

Paul³

et al. 2023

Photons Plus Ultrasound: Imaging and Sensing 2023

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The eyes function through the cooperation of different ocular components, and complications with any components would lead to ocular diseases that deteriorate vision. Hence early and precise detection and monitoring of ocular diseases, along with the improved understanding of pathological mechanisms, becomes essential for successful treatment. Photoacoustic Imaging (PAI) is a non-invasive and non-destructive imaging modality based on the photoacoustic effect, which gives high spatial resolution, sensitivity, contrast and penetration depth. Since PAI can provide anatomic and functional ocular characterizations, it can be a potential tool for medical screening/diagnosis of ocular diseases, staging, treatment, and continuous post-treatment monitoring. Here, we perform deep-tissue imaging of the Goldfish (Carassius auratus) eye using a home-built Photoacoustic microscope to identify various ocular components like iris, crystalline lens, retina, optic nerve and blood vessels. The study can be extended to observe changes in these structures under different ophthalmic disease conditions.

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“…Delay and Sum (DAS) is the most popular beamformer for giving real-time imaging, but the blindness nature of this beamforming modality gives more side lobes and the target will be spread out into the region from its actual size. [22][23][24] In this section, the goal is to improve the image quality; various kinds of beamforming are used to improve the signal-to-noise ratio (SNR), contrast ratio (CR), and full-width at half maxima (FWHM). From averaged A-line data(z-direction) are now taken along the lateral direction (x-axis) with step 100 micrometer, and produce the 2D of the target; after that, applying DAS beamforming gives a reconstructed image of the target shown in Figure 3a(i), It's clearly visible that the reconstructed target lost its size information and it messed by the strong side lobe.…”

Section: Post Processingmentioning

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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Delay-and-sum-to-delay-standard-deviation factor: a promising adaptive beamformer

Cited by 16 publications

References 15 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

Ocular imaging of Carassius auratus eyes using photoacoustic microscopy

Image quality enhancement of PMUT-based photoacoustic imaging

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