Experimental Application of Ultrafast Imaging to Spectral Tissue Characterization

García-Duitama, Julián; Chayer, Boris; Han, Aiguo; Garcia, Damien; Oelze, Michael L.; Cloutier, Guy

doi:10.1016/j.ultrasmedbio.2015.04.017

Cited by 19 publications

(18 citation statements)

References 63 publications

(78 reference statements)

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“…However, in all the mentioned studies, a reference signal was needed to normalize the tissue signal and to remove artifacts associated with the US system. At a clinical level, such a normalization process requires the use of a reference phantom with acoustic properties that are known and similar to the investigated tissue in order to calibrate the measurement system 22 .…”

Section: Discussionmentioning

confidence: 99%

“…In view of an in-vivo translation of this measurement, the clinical ultrasound device has to be equipped with a reference phantom with known acoustic properties in order to calibrate the system, thus performing a time-consuming and vulnerable to errors procedure before extracting the spectral parameters. Moreover, this method has specific requirements for the acoustic properties of the reference phantom: its speed of sound and attenuation must be similar to those of the investigated tissue 22 .…”

mentioning

confidence: 99%

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A novel quantitative and reference-free ultrasound analysis to discriminate different concentrations of bone mineral content

Sorriento

Poliziani

Cafarelli

et al. 2021

Sci Rep

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Bone fracture is a continuous process, during which bone mineral matrix evolves leading to an increase in hydroxyapatite and calcium carbonate content. Currently, no gold standard methods are available for a quantitative assessment of bone fracture healing. Moreover, the available tools do not provide information on bone composition. Whereby, there is a need for objective and non-invasive methods to monitor the evolution of bone mineral content. In general, ultrasound can guarantee a quantitative characterization of tissues. However, previous studies required measurements on reference samples. In this paper we propose a novel and reference-free parameter, based on the entropy of the phase signal calculated from the backscattered data in combination with amplitude information, to also consider absorption and scattering phenomena. The proposed metric was effective in discriminating different hydroxyapatite (from 10 to 50% w/v) and calcium carbonate (from 2 to 6% w/v) concentrations in bone-mimicking phantoms without the need for reference measurements, paving the way to their translational use for the diagnosis of tissue healing. To the best of our knowledge this is the first time that the phase entropy of the backscattered ultrasound signals is exploited for monitoring changes in the mineral content of bone-like materials.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

A novel quantitative and reference-free ultrasound analysis to discriminate different concentrations of bone mineral content

Sorriento

Poliziani

Cafarelli

et al. 2021

Sci Rep

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“…Furthermore, the scatterers in the reference phantom should not be too large with respect to a wavelength in order to avoid specular reflections. This technique is applicable for any transducer geometry such as single-element focused/unfocused transducers and array systems including different beamforming techniques [15,16]. …”

Section: Historical Development Of Qusmentioning

confidence: 99%

Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound

Oelze

Mamou

2016

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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290

206

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Conventional medical imaging technologies, including ultrasound, have continued to improve over the years. For example, in oncology, medical imaging is characterized by high sensitivity, i.e., the ability to detect anomalous tissue features, but the ability to classify these tissue features from images often lacks specificity. As a result, a large number of biopsies of tissues with suspicious image findings are performed each year with a vast majority of these biopsies resulting in a negative finding. To improve specificity of cancer imaging, quantitative imaging techniques can play an important role. Conventional ultrasound B-mode imaging is mainly qualitative in nature. However, quantitative ultrasound (QUS) imaging can provide specific numbers related to tissue features that can increase the specificity of image findings leading to improvements in diagnostic ultrasound. QUS imaging techniques can encompass a wide variety of techniques including spectral-based parameterization, elastography, shear wave imaging, flow estimation and envelope statistics. Currently, spectral-based parameterization and envelope statistics are not available on most conventional clinical ultrasound machines. However, in recent years QUS techniques involving spectral-based parameterization and envelope statistics have demonstrated success in many applications, providing additional diagnostic capabilities. Spectral-based techniques include the estimation of the backscatter coefficient, estimation of attenuation, and estimation of scatterer properties such as the correlation length associated with an effective scatterer diameter and the effective acoustic concentration of scatterers. Envelope statistics include the estimation of the number density of scatterers and quantification of coherent to incoherent signals produced from the tissue. Challenges for clinical application include correctly accounting for attenuation effects and transmission losses and implementation of QUS on clinical devices. Successful clinical and pre-clinical applications demonstrating the ability of QUS to improve medical diagnostics include characterization of the myocardium during the cardiac cycle, cancer detection, classification of solid tumors and lymph nodes, detection and quantification of fatty liver disease, and monitoring and assessment of therapy.

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“…Erythrocyte aggregation and ultrasound imaging techniques. Several studies that have used ultrasound imaging techniques to characterize erythrocyte aggregation in vitro (Aggelopoulos et al 1997;Alanen and Kormano 1985;Allard and Cloutier 1999;Allard et al 1996;Boynard and Lelievre 1990;Cloutier and Qin 2000;Cloutier and Shung 1992;Cloutier et al 1996Cloutier et al , 2008Franceschini et al 2011;Garcia-Duitama et al 2015;Haider et al 2000Haider et al , 2004Huang 2009Huang , 2010Huang and Chang 2011;Huang et al 2013Huang et al , 2015Kallio et al 1989;Karabetsos et al 1998;Khodabandehlou et al 2002;Kim et al 1989;Kitamura et al 1995;Lupotti et al 2004;Nam et al 2008Nam et al , 2009Nam et al , 2012Nguyen et al 2008;Razavian et al 1991Razavian et al , 1995Rouffiac et al 2002Rouffiac et al , 2003Shehada et al 1994;Shung and Paeng 2003;Sigel et al 1982Sigel et al , 1983Sigel et al , 1984Wang et al 1992;Xu et al 2010;Yu et al 2009) and in v...…”

Section: Description Of Studiesmentioning

confidence: 99%

Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review

Gyawali

Ziegler

Cailhier

et al. 2018

Ultrasound in Medicine & Biology

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Experimental Application of Ultrafast Imaging to Spectral Tissue Characterization

Cited by 19 publications

References 63 publications

A novel quantitative and reference-free ultrasound analysis to discriminate different concentrations of bone mineral content

A novel quantitative and reference-free ultrasound analysis to discriminate different concentrations of bone mineral content

Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound

Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review

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