Ultrasound speed in equine cortical bone: Effects of orientation, density, porosity and temperature

McCarthy, Robert; Jeffcott, L. B.; McCartney, R. N.

doi:10.1016/0021-9290(90)90006-o

Cited by 84 publications

(50 citation statements)

References 12 publications

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“…Other investigators have observed similar effects in the past [68]. Thus, attenuation is of interest for thermometry, but probably only at temperatures above 50 C. This range, however, is not suitable for clinical hyperthermia because hyperthermia temperatures usually do not exceed 50 C.…”

Section: Attenuationmentioning

confidence: 87%

“…Attenuation changes with temperature appear to be more pronounced at temperatures above 50 C than in the hyperthermia range. In a study of inter-costal tissues from rats and pigs by Towa et al [63], there was a statistically significant, but slight, change in attenuation coefficient from 22-37 C. They concluded that attenuation measures at 22 C, rather than at body temperature, were sufficient for accurate estimates of acoustic levels at pleural surfaces.…”

Section: Attenuationmentioning

confidence: 89%

“…Temperature dependence of ultrasonic tissue parameters has been reported extensively from in vitro analyses of ultrasonic tissue characteristics [40][41][42][43][44][45][46][47][48][49][50]. These early investigators looked at changes in tissue characteristics with temperature in order to evaluate thermal errors in tissue characterization.…”

Section: Ultrasonic Measurement Of Temperaturementioning

confidence: 99%

See 2 more Smart Citations

Non-invasive estimation of hyperthermia temperatures with ultrasound

Arthur

Straube

Trobaugh

et al. 2005

International Journal of Hyperthermia

205

134

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Ultrasound is an attractive modality for temperature monitoring because it is non-ionizing, convenient, inexpensive and has relatively simple signal processing requirements. This modality may be useful for temperature estimation if a temperature-dependent ultrasonic parameter can be identified, measured and calibrated. The most prominent methods for using ultrasound as a non-invasive thermometer exploit either (1) echo shifts due to changes in tissue thermal expansion and speed of sound (SOS), (2) variation in the attenuation coefficient or (3) change in backscattered energy from tissue inhomogeneities. The use of echo shifts has received the most attention in the last decade. By tracking scattering volumes and measuring the time shift of received echoes, investigators have been able to predict the temperature from a region of interest both theoretically and experimentally in phantoms, in isolated tissue regions in vitro and preliminary in vivo studies. A limitation of this method for general temperature monitoring is that prior knowledge of both SOS and thermalexpansion coefficients is necessary. Acoustic attenuation is dependent on temperature, but with significant changes occurring only at temperatures above 50 C, which may lead to its use in thermal ablation therapies. Minimal change in attenuation, however, below this temperature range reduces its attractiveness for use in clinical hyperthermia. Models and measurements of the change in backscattered energy suggest that, over the clinical hyperthermia temperature range, changes in backscattered energy are dependent on the properties of individual scatterers or scattering regions. Calibration of the backscattered energy from different tissue regions is an important goal of this approach. All methods must be able to cope with motion of the image features on which temperature estimates are based. A crucial step in identifying a viable ultrasonic approach to temperature estimation is its performance during in vivo tests.

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Section: Attenuationmentioning

confidence: 87%

Section: Attenuationmentioning

confidence: 89%

Section: Ultrasonic Measurement Of Temperaturementioning

confidence: 99%

See 1 more Smart Citation

Non-invasive estimation of hyperthermia temperatures with ultrasound

Arthur

Straube

Trobaugh

et al. 2005

International Journal of Hyperthermia

205

134

View full text Add to dashboard Cite

show abstract

“…Recently, hierarchical material models for bone [Hellmich et al, 2004;Fritsch and Hellmich, 2007;Fritsch et al, 2009a], developed within the framework of continuum micromechanics [Zaoui, 2002] and validated through a multitude of biochemical, biophysical, and biomechanical experiments [Bonar et al, 1985;Lees, 1987;Ashman et al, 1984;McCarthy et al, 1990], have opened the way to translate the chemical composition of extracellular bone material (i.e. the volume fractions of organics, water, and hydroxyapatite, as seen in Figure 6) into the tissue's anisotropic elasticity.…”

Section: 'Universal' Relations Between Extracellular Mass Density Andmentioning

confidence: 99%

Bone fibrillogenesis and mineralization: Quantitative analysis and implications for tissue elasticity

Vuong

Hellmich

2011

Journal of Theoretical Biology

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Data from bone drying, demineralization, and deorganification tests, collected over a time span of more than eighty years, evidence a myriad of different chemical compositions of different bone materials. However, careful analysis of the data, as to extract the chemical concentrations of hydroxyapatite, of water, and of organic material (mainly collagen) in the extracellular bone matrix, reveals an astonishing fact: it appears that there exists a unique bilinear relationship between organic concentration and mineral concentration, across different species, organs, and age groups, from early childhood to OLD AGE: During organ growth, the mineral concentration increases linearly with the organic concentration (which increases during fibrillogenesis), while from adulthood on, further increase of the mineral concentration is accompanied by a decrease in organic concentration. These relationships imply unique mass density-concentration laws for fibrillogenesis and mineralization, which -in combination with micromechanical models -deliver 'universal' mass density-elasticity relationships in extracellular bone matrix -valid across different species, organs, and ages. They turn out as quantitative reflections of the well-instrumented interplay of osteoblasts, osteoclasts, osteocytes, and their precursors, controlling, in a fine-tuned fashion, the chemical genesis and continuous transformation of the extracellular bone matrix. Considerations of the aformentioned rules may strongly affect the potential success of tissue engineering strategies, in particular when translating, via micromechanics, the aformentioned growth and mineralization characteristics into tissue-specific elastic properties.

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“…36 Temperature dependence of ultrasonic tissue parameters has been reported extensively from in vitro analyses of ultrasonic tissue characteristics. [194][195][196][197] These early investigators studied changes in tissue characteristics with temperature in order to evaluate thermal errors in tissue characterization.…”

Section: Apparatusmentioning

confidence: 99%

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

Habash

Bansal

Krewski

et al. 2007

Crit Rev Biomed Eng

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ABSTRACT:In this article some of the important techniques in electromagnetic (EM) and thermal dosimetry are reviewed. Three major areas are discussed: modeling power deposition and estimation of EM energy absorbed by tissues exposed to EM radiation, electrical-thermal modeling for thermal therapy with various models of heat transfer in living tissues, and thermal dosimetry using invasive and noninvasive thermometry. Knowledge about the temperature distributions achieved can only be obtained by treatment planning of patient therapy. This process is called thermal therapy planning system (TTPS), which is a large and complex system for design, control, documentation, and evaluation of the treatment that also provides data for treatment optimization. Various imaging techniques for guidance and monitoring necessary for clinical treatments are also discussed. The review concludes by suggesting future avenues for investigations.

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Ultrasound speed in equine cortical bone: Effects of orientation, density, porosity and temperature

Cited by 84 publications

References 12 publications

Non-invasive estimation of hyperthermia temperatures with ultrasound

Non-invasive estimation of hyperthermia temperatures with ultrasound

Bone fibrillogenesis and mineralization: Quantitative analysis and implications for tissue elasticity

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

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