Photoacoustic imaging for deep targets in the breast using a multichannel 2D array transducer

Xie, Zhixing; Wang, Xueding; Morris, Richard F.; Padilla, F.; LeCarpentier, Gerald L.; Carson, Paul L.

doi:10.1117/12.875138

Cited by 10 publications

(6 citation statements)

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“…Segmentation and registration methods for proper a priori information may be investigated for this application in a future study. With our BLUCI system, current studies include imaging the breast from both sides, photoacoustic tomography of the breast in the same geometry, 27 and registration of BLUCI images with combined ultrasound and tomosynthesis images obtained in a different system. 28 The ability to create reasonably good speed of sound images in the compressed mammographic geometry will yield manifold benefits in our system, as they may be more readily coregistered to tomosynthesis image volumes than can pulse echo ultrasound for breast cancer detection and characterization studies.…”

Section: Discussionmentioning

confidence: 99%

First‐arrival traveltime sound speed inversion with a priori information

Hooi

Carson

2014

Medical Physics

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This paper demonstrates the ability to form sound speed images using two opposed commercial linear arrays to mimic ultrasound image acquisition in the compressed mammographic geometry. The ability to create reasonably good speed of sound images in the compressed mammographic geometry allows images to be readily coregistered to tomosynthesis image volumes for breast cancer detection and characterization studies.

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Section: Discussionmentioning

confidence: 99%

First‐arrival traveltime sound speed inversion with a priori information

Hooi

Carson

2014

Medical Physics

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“…This demonstrates the applicability of the system in 3D non-invasive imaging of breast morphology and physiological tissue characteristics. 58 The all-optical probe of endoscope system is based on an optical transparent glass polymer microring resonator ultrasonic sensor. They experimentally performed volumetric imaging of multiple models and quantified the axial, tangential, and radial resolution of the probe while quantifying angular sensitivity stability.…”

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confidence: 99%

Development of medical imaging sensors

Feng

Wang

Yang

2020

International Journal of Distributed Sensor Networks

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This review describes sensor technologies for medical imaging. Medical imaging plays an extremely important role in medical imaging, and sensor technology affects the quality of imaging results. By analyzing the research progress of sensors used in various imaging technologies, the result that sensors applied to medical imaging will gradually achieve mutual coupling between various technologies was summed up, such as the coupling of flexible electrodes and dry electrodes, in ultrasound. Photoacoustic technology and thermoacoustic technology based on technology coupled with other technologies. In addition to the coupling between multiple technologies, sensor technology is also moving toward miniaturization, intelligence, and netting.

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“…Photoacoustic computed tomography (PACT) is a hybrid imaging modality that combines optical absorption contrast with acoustic detection [58, 40, 57, 56]. PACT can provide both structural and functional information and has been employed for human and small animal imaging applications [30, 20, 63, 16, 31, 61, 17]. PACT has a number of advantages over other functional imaging modalities: compared with MRI, it offers faster image acquisition at lower costs; compared with PET and SPECT, it does not involve use of ionizing radiation; and compared with other optical imaging modalities, it has the ability to obtain high-resolution images at large penetration depths [59].…”

Section: Introductionmentioning

confidence: 99%

Parameterized Joint Reconstruction of the Initial Pressure and Sound Speed Distributions for Photoacoustic Computed Tomography

Matthews¹,

Poudel²,

Li³

et al. 2018

SIAM J. Imaging Sci.

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Abstract. Accurate estimation of the initial pressure distribution in photoacoustic computed tomography (PACT) depends on knowledge of the sound speed distribution. However, the sound speed distribution is typically unknown. Further, the initial pressure and sound speed distributions cannot both, in general, be stably recovered from PACT measurements alone. In this work, a joint reconstruction (JR) method for the initial pressure distribution and a low-dimensional parameterized model of the sound speed distribution is proposed. By employing a priori information about the structure of the sound speed distribution, both the initial pressure and sound speed can be accurately recovered. The JR problem is solved by use of a proximal optimization method that allows constraints and nonsmooth regularization functions for the initial pressure distribution. The gradients of the cost function with respect to the initial pressure and sound speed distributions are calculated by use of an adjoint state method that has the same per-iteration computational cost as calculating the gradient with respect to the initial pressure distribution alone. This approach is evaluated through two-dimensional computer-simulation studies for a small animal imaging model and by application to experimental in vivo measurements of a mouse.

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Photoacoustic imaging for deep targets in the breast using a multichannel 2D array transducer

Cited by 10 publications

References 0 publications

First‐arrival traveltime sound speed inversion with a priori information

First‐arrival traveltime sound speed inversion with a priori information

Development of medical imaging sensors

Parameterized Joint Reconstruction of the Initial Pressure and Sound Speed Distributions for Photoacoustic Computed Tomography

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