Measurement of Viscoelastic Properties of Polyacrylamide-Based Tissue-Mimicking Phantoms for Ultrasound Elastography Applications

Kumar, K. Ravi; Andrews, Maneesha E.; Jayashankar, V.; Mishra, Ashok Kumar; Suresh, S.

doi:10.1109/tim.2009.2038002

Cited by 40 publications

(12 citation statements)

References 31 publications

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“…applied a radial diffraction correction to their muscle fiber data (50 to 600 Hz) and found the power law model worked reasonably well and was similar to the Kevin-Voigt model over the range of parameters for their experiments Kumar et al (2010). in their study of Maxwell, Kevin-Voigt, and fractional Kevin-Voigt models applied to measurements of Young's modulus from polyacrylamide-based phantoms found that only the fractional KV model matched their data.…”

mentioning

confidence: 92%

Towards a consensus on rheological models for elastography in soft tissues

Parker¹,

Szabo²,

Holm³

2019

Phys. Med. Biol.

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A rising wave of technologies and instruments are enabling more labs and clinics to make a variety of measurements related to tissue viscoelastic properties. These instruments include elastography imaging scanners, rheological shear viscometers, and a variety of calibrated stress-strain analyzers.From these many sources of disparate data, a common step in analyzing results is to fit the measurements of tissue response to some viscoelastic model. In the best scenario, this places the measurements within a theoretical framework and enables meaningful comparisons of the parameters against other types of tissues. However, there is a large set of established rheological models, even within the class of linear, causal, viscoelastic solid models, so which of these should be chosen? Is it simply a matter of best fit to a minimum mean squared error of the model to several data points? We argue that the long history of biomechanics, including the concept of the extended relaxation spectrum, along with data collected from viscoelastic soft tissues over an extended range of times and frequencies, and the theoretical framework of multiple relaxation models which model the multi-scale nature of physical tissues, all lead to the conclusion that fractional derivative models represent the most succinct and meaningful models of soft tissue viscoelastic behavior. These arguments are presented with the goal of clarifying some distinctions between, and consequences of, some of the most commonly used models, and with the longer term goal of reaching a consensus among different sub-fields in acoustics, biomechanics, and elastography that have common interests in comparing tissue measurements.

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mentioning

confidence: 92%

Towards a consensus on rheological models for elastography in soft tissues

Parker¹,

Szabo²,

Holm³

2019

Phys. Med. Biol.

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“…OCT provides structural images approaching histology, where the microstructures of biological tissues can be quantified based on the optical backscattering properties within the imaging region of interest. This beneficial high-resolution, noninvasive imaging modality allows OCE to evaluate the mechanics of intact tissue on a scale that cannot be offered by elastographies produced by the competing imaging modalities of ultrasound 3,[16][17][18] or MRI (magnetic resonance imaging). 19,20 Recent advances of these technologies are pushing the resolution to higher values where high-frequency ultrasound 21 can reach 30-70 μm and magnetic resonance microscopy 22 has improved imaging resolution to ∼120 um.…”

Section: Optical Coherence Elastographymentioning

confidence: 99%

Optical coherence elastography: current status and future applications

Sun¹,

Standish²,

Yang³

2021

Preprint

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Optical coherence tomography (OCT) has several advantages over other imaging modalities, such as angiography and ultrasound, due to its inherently high in vivoresolution, which allows for the identification of morphological tissue structures. Optical coherence elastography (OCE) benefits from the superior spatial resolution of OCT and has promising applications, including cancer diagnosis and the detailed characterization of arterial wall biomechanics, both of which are based on the elastic properties of the tissue under investigation. We present OCE principles based on techniques associated with static and dynamic tissue excitation, and their corresponding elastogram image-reconstruction algorithms are reviewed. OCE techniques, including the development of intravascular- or catheter-based OCE, are in their early stages of development but show great promise for surgical oncology or intravascular cardiology applications.

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“…There is no single strategy better than all the other and what should be used, depends on the environment and the goals. Some might even be used together, e.g., DVFS and VM Placement [6].…”

Section: Related Workmentioning

confidence: 99%

Oversubscribing micro-clouds with energy-aware containers scheduling

Mendes

Simão

Veiga

2019

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

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Cloud computation is being pushed to the edge of the network, towards Micro-clouds, to promote more energy efficiency and less latency when compared to heavy resourced centralized datacenters. This trend will enable new markets and providers to fill the current gap. There are however challenges in this design: (i) devices have less resources, leading to a frequent use of oversubscription (ii) lack of economic incentives to both provider and application owner to cope with less than full requests fulfilled. To support this trend, the virtualization layer of Micro-clouds is currently dominated by containers, which have a small memory footprint and strong isolation properties. We propose an extension to Docker Swarm, a widely used containers orchestrator, with an oversubscribing scheduling algorithm, based on improving resources utilization to levels where the energy efficiency is maximized. This solution improves CPU and memory utilization over Spread and Binpack (Docker Swarm strategies). Although we introduce a small overhead in scheduling times, our solution manages to allocate more requests, with a successful allocation rate of 83% against 57% of current solutions, measured on the scheduling of real CPU-and memoryintensive workloads (e.g. Video encoding, Key-value storages and a Deep-learning algorithm). CCS CONCEPTS • Networks → Cloud computing; • Computer systems organization → Cloud computing; • Computing methodologies → Distributed computing methodologies;

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Measurement of Viscoelastic Properties of Polyacrylamide-Based Tissue-Mimicking Phantoms for Ultrasound Elastography Applications

Cited by 40 publications

References 31 publications

Towards a consensus on rheological models for elastography in soft tissues

Towards a consensus on rheological models for elastography in soft tissues

Optical coherence elastography: current status and future applications

Oversubscribing micro-clouds with energy-aware containers scheduling

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