Measurement of speed of sound dispersion in soft tissues using a double frequency continuous wave method

Levy, Yoav; Agnon, Yehuda; Azhari, Haim

doi:10.1016/j.ultrasmedbio.2006.04.003

Cited by 18 publications

(8 citation statements)

References 20 publications

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“…Of the various medical imaging modalities, ultrasound pulse-echo systems have been widely utilized for visualizing the human body's internal organs, as well as for evaluating the pathological state of soft tissue. To analyze the status of scanned tissue, several ultrasonic parameters, including speed of sound [23,24], integrated backscatter [25,26] and scatterer size [27], are extracted from RF data. Ultrasound attenuation is another critical parameter for evaluation of soft tissue, used to distinguish malignant from benign tumors, as well as provide fundamental information for quantitative ultrasound (QUS) [28].…”

Section: Centroid Downshift Methodsmentioning

confidence: 99%

Signal-Processing Framework for Ultrasound Compressed Sensing Data: Envelope Detection and Spectral Analysis

2020

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Acquisition times and storage requirements have become increasingly important in signal-processing applications, as the sizes of datasets have increased. Hence, compressed sensing (CS) has emerged as an alternative processing technique, as original signals can be reconstructed using fewer data samples collected at frequencies below the Nyquist sampling rate. However, further analysis of CS data in both time and frequency domains requires the reconstruction of the original form of the time-domain data, as traditional signal-processing techniques are designed for uncompressed data. In this paper, we propose a signal-processing framework that extracts spectral properties for frequency-domain analysis directly from under-sampled ultrasound CS data, using an appropriate basis matrix, and efficiently converts this into the envelope of a time-domain signal, avoiding full reconstruction. The technique generates more accurate results than the traditional framework in both time- and frequency-domain analyses, and is simpler and faster in execution than full reconstruction, without any loss of information. Hence, the proposed framework offers a new standard for signal processing using ultrasound CS data, especially for small and portable systems handling large datasets.

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Section: Centroid Downshift Methodsmentioning

confidence: 99%

Signal-Processing Framework for Ultrasound Compressed Sensing Data: Envelope Detection and Spectral Analysis

2020

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“…The assumption underlying this model is, that the wave shape does not change due to refraction. Since, the transducer used in this study is responsive only in a very short range (2 -7 MHz) of ultrasound frequency range, the acoustic dispersion [42], [43] phenomenon being weak can be neglected in our case.…”

Section: B Tir Models For Refraction At An Interfacementioning

confidence: 99%

A Synthetic Total Impulse Response Characterization Method for Correction of Hand-Held Optoacoustic Images

Chowdhury

Prakash

Karlas

et al. 2020

IEEE Trans. Med. Imaging

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The impulse response of optoacoustic (photoacoustic) tomographic imaging system depends on several system components, the characteristics of which can influence the quality of reconstructed images. The effect of these system components on reconstruction quality have not been considered in detail so far. Here we combine sparse measurements of the total impulse response (TIR) with a geometric acoustic model to obtain a full characterization of the TIR of a handheld optoacoustic tomography system with concave limited-view acquisition geometry. We then use this synthetic TIR to reconstruct data from phantoms and healthy human volunteers, demonstrating improvements in image resolution and fidelity. The higher accuracy of optoacoustic tomographic reconstruction with TIR correction further improves the diagnostic capability of handheld optoacoustic tomographic systems.

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“…Various methods for velocity measurement using pulse-echo methods have been previously described in a number of reviews including Truell et al [1]. However, pulse-echo techniques require good transducer-to-sample coupling and the signal-to-noise ratio (SNR) can be limited by inaccuracies in phase measurements, particularly in dispersive and attenuating media [2]. On the other hand, other methods based on continuous wave systems such as resonance methods and composite oscillators have also been employed [1].…”

Section: Introductionmentioning

confidence: 99%

Characterization of mechanical properties of materials using ultrasound broadband spectroscopy

et al. 2016

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Measurement of speed of sound dispersion in soft tissues using a double frequency continuous wave method

Cited by 18 publications

References 20 publications

Signal-Processing Framework for Ultrasound Compressed Sensing Data: Envelope Detection and Spectral Analysis

Signal-Processing Framework for Ultrasound Compressed Sensing Data: Envelope Detection and Spectral Analysis

A Synthetic Total Impulse Response Characterization Method for Correction of Hand-Held Optoacoustic Images

Characterization of mechanical properties of materials using ultrasound broadband spectroscopy

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