Assessing cardiac stiffness using ultrasound shear wave elastography

Caenen, Annette; Pernot, Mathieu; Nightingale, Kathryn R.; Voigt, Jens‐Uwe; Vos, Hendrik J.; Segers, Patrick; D'hooge, Jan

doi:10.1088/1361-6560/ac404d

Cited by 34 publications

(33 citation statements)

References 85 publications

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“…Importantly, aMRE is not necessarily a direct replacement of conventional MRE or ultrasound elastography techniques. However, it offers an imaging solution for when the specialized driver is not available or for deep tissues that are otherwise difficult to image with ultrasound, which have typical penetration depths of several centimeters, 10,33 whereas the aMRE scans shown here easily image objects that are approximately 10-20 cm in size. Unlike elastography phantoms, tissues are neither purely elastic nor isotropic, and any form of elastography will depend on both the direction and frequency of measurement.…”

Section: Discussionmentioning

confidence: 99%

“…Unlike elastography phantoms, tissues are neither purely elastic nor isotropic, and any form of elastography will depend on both the direction and frequency of measurement 4,10,33–35 . The thigh muscles are a topical example.…”

Section: Discussionmentioning

confidence: 99%

“…First, the resolution of the temporally resolved scan can be increased further. Although the resolution used in the experiments here are fast relative to typical MRI scans, a 5–10‐fold improvement is necessary to image shear waves on the same frequencies used in conventional MRE and ultrasound elastography methods 1–3,10,33 . Currently, the resolution is 14 ms in the phantom scans and 22 ms in the in vivo scans, whereas cardiac MRE typically uses frequencies exceeding 100 Hz that require a resolution of 5 ms or better to image the waves.…”

Section: Discussionmentioning

confidence: 99%

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Asynchronous magnetic resonance elastography: Shear wave speed reconstruction using noise correlation of incoherent waves

Nguyen

Bonner

Foster

et al. 2022

Magnetic Resonance in Med

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Purpose The noninvasive measurement of biological tissue elasticity is an evolving technology that enables the robust characterization of soft tissue mechanics for a wide array of biomedical engineering and clinical applications. We propose, design, and implement here a new MRI technique termed asynchronous magnetic resonance elastography (aMRE) that pushes the measurement technology toward a driverless implementation. This technique can be added to clinical MRI scanners without any additional specialized hardware. Theory Asynchronous MRE is founded on the theory of diffuse wavefields and noise correlation previously developed in ultrasound to reconstruct shear wave speeds using seemingly incoherent wavefields. Unlike conventional elastography methods that solve an inverse problem, aMRE directly reconstructs a pixel‐wise mapping of wave speed using the spatial–temporal statistics of the measured wavefield. Methods Incoherent finger tapping served as the wave‐generating source for all aMRE measurements. Asynchronous MRE was performed on a phantom using a Siemens Prismafit as an experimental validation of the theory. It was further performed on thigh muscles as a proof‐of‐concept implementation of in vivo imaging using a Siemens Skyra scanner. Results Numerical and phantom experiments show an accurate reconstruction of wave speeds from seemingly noisy wavefields. The proof‐of‐concept thigh experiments also show that the aMRE protocol can reconstruct a pixel‐wise mapping of wave speeds. Conclusion Asynchronous MRE is shown to accurately reconstruct shear wave speeds in phantom experiments and remains at the proof‐of‐concept stage for in vivo imaging. After further validation and improvements, it has the potential to lower both the technical and monetary barriers of entry to measuring tissue elasticity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Asynchronous magnetic resonance elastography: Shear wave speed reconstruction using noise correlation of incoherent waves

Nguyen

Bonner

Foster

et al. 2022

Magnetic Resonance in Med

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“…The two main branches of ultrasound elastography are static/ quasi-static compressive strain elastography [16,17] and shear wave elastography [18,19]. In strain elastography, a series of images are taken as the tissue is slowly compressed, which results in a measure of how the strain distribution changes with compression.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Compression Elastography With an Uncalibrated Stress Sensor

Rippy

Singh²,

Nair³

et al. 2022

Front. Phys.

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Tissue stiffness is a key biomechanical property that can be exploited for diagnostic and therapeutic purposes. Tissue stiffness is typically measured quantitatively via shear wave elastography or qualitatively through compressive strain elastography. This work focuses on merging the two by implementing an uncalibrated stress sensor to allow for the calculation of Young’s modulus during compression elastography. Our results show that quantitative compression elastography is able to measure Young’s modulus values in gelatin and tissue samples that agree well with uniaxial compression testing.

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“…Shear Wave Imaging (SWI) is a modality that can be used for describing changes to tissue property using a doppler approach to describing changes [5]. SWI therefore has multiple potential clinical applications within cardiovascular imaging, such as the potential to describe the mechanical contractile wavefront [1].…”

Section: Introductionmentioning

confidence: 99%

Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties

Andersen¹,

Søgaard²,

Struijk³

et al. 2022

Computing in Cardiology Conference (CinC)

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Analysis of myocardial and arterial wall tissue properties can potentially be used to diagnose cardiovascular pathophysiology. Many cardiovascular diseases, such as Left Bundle Branch Block, Myocardial Infarcts and arteriosclerosis alters tissue elasticity. A known analogue to tissue elasticity is the velocity of the propagating shear waves through tissue, which can be quantified non-invasively as shear wave velocity, derived from ultrasound Shear Wave Imaging (SWI). Developing new SWI techniques require custom programming and a deep knowledge of research-based ultrasound systems. A SWI framework was developed to identify natural shear waves in 800ms windows and generate an acoustic radiation force pulse for generating artificial shear waves in tissue, for use in linear and phased array setups. The MATLAB code and setup framework are provided as an open-source package made available on GitHub.To verify the SWI framework, Acoustic Radiation Force, followed by SWI were made in a tissue mimicking ultrasound phantom. Shear waves propagated at 2.71 ± 0.12 𝑚/𝑠, which did not vary significantly with respect to neither scan depth (P=0.77) nor tissue attenuation (P=0.88). The framework can potentially be useful for aspiring researchers starting their work in SWI imaging using the Verasonics Vantage System.

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Assessing cardiac stiffness using ultrasound shear wave elastography

Cited by 34 publications

References 85 publications

Asynchronous magnetic resonance elastography: Shear wave speed reconstruction using noise correlation of incoherent waves

Asynchronous magnetic resonance elastography: Shear wave speed reconstruction using noise correlation of incoherent waves

Quantitative Compression Elastography With an Uncalibrated Stress Sensor

Shear Wave Imaging Framework for Quantification of Myocardial Tissue Properties

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