Photoacoustic–Ultrasound Tomography With S-Sequence Aperture Encoding

Barber, Quinn; Zemp, Roger J.

doi:10.1109/tuffc.2017.2661238

Cited by 7 publications

(3 citation statements)

References 37 publications

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“…Calibration of the light path to determine the illumination uniformity and intensity of the generated acoustic signal is the key to constructing an excellent PA system. Fabrication of transparent UTs [17] and the application of optical fibers [18] and optical-acoustic objectives [19] have been implemented to achieve backward-mode light irradiation. To implement the backward-mode receiving system in this study, we fabricated a ring-type CMUT array with a hole inside the elements, as shown in Figure 1.…”

Section: Imaging System and Methodsmentioning

confidence: 99%

Single-Shot Waterless Low-Profile Photoacoustic System: Near-Field Volumetric Imaging In Vivo for Blood Vessels Based on Capacitive Micromachined Ultrasonic Transducer (CMUT)

Choi

Kim

et al. 2019

Sensors

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Intensive research on photoacoustics (PA) for imaging of the living human body, including the skin, vessels, and tumors, has recently been conducted. We propose a PA measurement system based on a capacitive micromachined ultrasonic transducer (CMUT) with waterless coupling, short measurement time (<1 s), backward light irradiation, and a low-profile ultrasonic receiver unit (<1 cm). We fabricate a 64-element CMUT ring array with 6.2 mm diameter and 10.4 MHz center frequency in air, and 100% yield and uniform element response. To validate the PA tissue characterization, we employ pencil lead and red ink as solid and liquid models, respectively, and a living body to target moles and vessels. The system implements a near-field imaging system consisting of a 6 mm polydimethylsiloxane (PDMS) matching layer between the object and CMUT, which has a 3.7 MHz center frequency in PDMS. Experiments were performed in a waterless contact on the PDMS and the laser was irradiated with a 1 cm diameter. The experimental results show the feasibility of this near-field PA imaging system for position and depth detection of skin, mole, vessel cells, etc. Therefore, a system applicable to a low-profile compact biomedical device is presented.

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Section: Imaging System and Methodsmentioning

confidence: 99%

Single-Shot Waterless Low-Profile Photoacoustic System: Near-Field Volumetric Imaging In Vivo for Blood Vessels Based on Capacitive Micromachined Ultrasonic Transducer (CMUT)

Choi

Kim

et al. 2019

Sensors

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“…Target size varied widely (

to 1 mm) due to the broad range of minimum size requirements for PAI devices with different resolution limits. Line target materials included metal wires or filaments (tungsten, steel, copper, aluminum, or unspecified metal), 48 , 60 , 67 , 78 , 79 , 93 – 99 carbon fibers, 100 – 103 threads, 51 , 104 , 105 sutures, 48 , 89 , 106 – 108 graphite rods (pencil lead), 50 , 109 , 110 or human/horse hairs. 10 , 86 , 111 – 118 Some studies imaged inkjet-printed target patterns on paper or transparency film suspended in water or a tissue-mimicking medium.…”

Section: Current Image Quality Evaluation Practices In Photoacoustic Imagingmentioning

confidence: 99%

“…Another approach suited to photoacoustic CT was to measure the edge spread function of a small needle lowered into the image plane. 79 …”

Section: Current Image Quality Evaluation Practices In Photoacoustic Imagingmentioning

confidence: 99%

Review of consensus test methods in medical imaging and current practices in photoacoustic image quality assessment

et al. 2021

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. Significance : Photoacoustic imaging (PAI) is a powerful emerging technology with broad clinical applications, but consensus test methods are needed to standardize performance evaluation and accelerate translation. Aim : To review consensus image quality test methods for mature imaging modalities [ultrasound, magnetic resonance imaging (MRI), x-ray CT, and x-ray mammography], identify best practices in phantom design and testing procedures, and compare against current practices in PAI phantom testing. Approach : We reviewed scientific papers, international standards, clinical accreditation guidelines, and professional society recommendations describing medical image quality test methods. Observations are organized by image quality characteristics (IQCs), including spatial resolution, geometric accuracy, imaging depth, uniformity, sensitivity, low-contrast detectability, and artifacts. Results : Consensus documents typically prescribed phantom geometry and material property requirements, as well as specific data acquisition and analysis protocols to optimize test consistency and reproducibility. While these documents considered a wide array of IQCs, reported PAI phantom testing focused heavily on in-plane resolution, depth of visualization, and sensitivity. Understudied IQCs that merit further consideration include out-of-plane resolution, geometric accuracy, uniformity, low-contrast detectability, and co-registration accuracy. Conclusions : Available medical image quality standards provide a blueprint for establishing consensus best practices for photoacoustic image quality assessment and thus hastening PAI technology advancement, translation, and clinical adoption.

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