Ultrasound Transducers

Genovese, Melissa

doi:10.1177/8756479315618207

Cited by 6 publications

(13 citation statements)

References 31 publications

(32 reference statements)

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“…Ultrasound waves are classified as sound waves that propagate in a range of frequencies over 20kHz. First discovered by Pierre and Jacques Curie in 1880, materials that exhibit the piezoelectric effect and inverse piezoelectric effect make up the basis of ultrasound transducers that are able to produce and absorb ultrasound waves (Genovese, 2016). The piezoelectric effect refers to materials that generate an electric field upon application of physical strain or pressure while the inverse piezoelectric effect is the opposite.…”

Section: Ultrasoundmentioning

confidence: 99%

“…Materials used in construction of ultrasound transducers exhibit both the piezoelectric effect to convert ultrasound waves (the mechanical strain) into electric signals and the inverse piezoelectric effect to send out ultrasound waves due to electrical stimulation. The generation of ultrasound waves by piezoelectric materials was first documented by Langevin, who used quartz (SiO 2 ) crystals to generate ultrasonic waves at a frequency of around 100 kHz in water (Genovese, 2016). The ultrasonic waves produced by physical vibration of the piezoelectric material can propagate through a fluid or solid.…”

Section: Ultrasoundmentioning

confidence: 99%

“…The ultrasonic waves produced by physical vibration of the piezoelectric material can propagate through a fluid or solid. This phenomenon was then harnessed for use in medical diagnostics by Dr. Karl Dussik in the 1940s (Genovese, 2016). Since then, ultrasound has evolved to be used in many industries, including the medical field in both a diagnostic capacity and a treatment capacity.…”

Section: Ultrasoundmentioning

confidence: 99%

See 2 more Smart Citations

Optimizing Ultrasound Settings in Ultrasound and Microbubble Treatment of ARDS

Ditmans

2023

Preprint

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<p>Acute respiratory distress syndrome (ARDS) is a severe disorder commonly found in intensive care units (ICUs) and results in high mortality. Characterized by fluid leakage into alveolar sacs, the heterogeneity of injury reduces effectiveness of current treatments. Ultrasoundmediated microbubble treatment has been used to successfully deliver cargo in a targeted manner to injured lung tissue. To further develop this method as a treatment, the optimal ultrasound settings for efficient cargo delivery need to be established. An ultrasound phantom model was used to correlate ultrasound settings with varying amounts of inertial cavitation. Three ultrasound settings corresponding to mostly inertial cavitation, mostly stable cavitation, and a mix of both were used to delivery cargo to adherent cells. Inertial cavitation induced more delivery and decreased cell viability compared to non-inertial cavitation. Further research using animal models is needed to optimize ultrasound settings for cargo delivery and develop USMB as a treatment for ARDS.</p>

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Section: Ultrasoundmentioning

confidence: 99%

Section: Ultrasoundmentioning

confidence: 99%

Section: Ultrasoundmentioning

confidence: 99%

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Optimizing Ultrasound Settings in Ultrasound and Microbubble Treatment of ARDS

Ditmans

2023

Preprint

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“…Advances in the development of micromachined ultrasound transducers might enable to overcome current limitation in the number and positioning of elements in matrix transducers [163]. However, the control of far more than 256 channels in parallel is necessary to make use of the full potential of these transducers, and to maximize image quality.…”

Section: Status Go Three-dimensional Us Imagingmentioning

confidence: 99%

What scans we will read: imaging instrumentation trends in clinical oncology

et al. 2020

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Oncological diseases account for a significant portion of the burden on public healthcare systems with associated costs driven primarily by complex and long-lasting therapies. Through the visualization of patient-specific morphology and functional-molecular pathways, cancerous tissue can be detected and characterized noninvasively, so as to provide referring oncologists with essential information to support therapy management decisions. Following the onset of stand-alone anatomical and functional imaging, we witness a push towards integrating molecular image information through various methods, including anato-metabolic imaging (e.g., PET/ CT), advanced MRI, optical or ultrasound imaging. This perspective paper highlights a number of key technological and methodological advances in imaging instrumentation related to anatomical, functional, molecular medicine and hybrid imaging, that is understood as the hardware-based combination of complementary anatomical and molecular imaging. These include novel detector technologies for ionizing radiation used in CT and nuclear medicine imaging, and novel system developments in MRI and optical as well as opto-acoustic imaging. We will also highlight new data processing methods for improved non-invasive tissue characterization. Following a general introduction to the role of imaging in oncology patient management we introduce imaging methods with well-defined clinical applications and potential for clinical translation. For each modality, we report first on the status quo and, then point to perceived technological and methodological advances in a subsequent status go section. Considering the breadth and dynamics of these developments, this perspective ends with a critical reflection on where the authors, with the majority of them being imaging experts with a background in physics and engineering, believe imaging methods will be in a few years from now. Overall, methodological and technological medical imaging advances are geared towards increased image contrast, the derivation of reproducible quantitative parameters, an increase in volume sensitivity and a reduction in overall examination time. To ensure full translation to the clinic, this progress in technologies and instrumentation is complemented by advances in relevant acquisition and image-processing protocols and improved data analysis. To this end, we should accept diagnostic images as "data", andthrough the wider adoption of advanced analysis, including machine learning approaches and a "big data" conceptmove to the next stage of non-invasive tumour phenotyping. The scans we will be reading in 10 years from now will likely be composed of highly diverse multidimensional data from multiple sources, which mandate the use of advanced and interactive visualization and

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“…They discovered that when pressure is applied to quartz or some certain crystals, it creates an electrical charge in that material. Curie's brothers soon discovered the inverse piezoelectric effect; when an electric field was enforced onto crystal leads, it led to a disorder in the crystal lead-now called the inverse piezoelectric effect [2].…”

Section: Introductionmentioning

confidence: 99%

Introductory Chapter: Common Pitfalls and How to Overcome

Gamie¹

2019

Essentials of Abdominal Ultrasound

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Ultrasound Transducers

Cited by 6 publications

References 31 publications

Optimizing Ultrasound Settings in Ultrasound and Microbubble Treatment of ARDS

Optimizing Ultrasound Settings in Ultrasound and Microbubble Treatment of ARDS

What scans we will read: imaging instrumentation trends in clinical oncology

Introductory Chapter: Common Pitfalls and How to Overcome

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