An investigation of backscatter power spectra from cells, cell pellets and microspheres

Kolios, Michael C.; Taggart, Linda R.; Baddour, Ralph E.; Foster, F. Stuart; Hunt, J.W.; Czarnota, G.J.; Sherar, Michael D.

doi:10.1109/ultsym.2003.1293510

Cited by 32 publications

(33 citation statements)

References 6 publications

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“…Some studies support the hypothesis that the whole cell acts as a dominant scatterer source (Falou et al 2010;Oelze and Zachary 2006). Other studies suggest that the nucleus is the main scatterer source when cells are embedded in tumors or surrounded by other cells (Czarnota et al 1999;Kolios et al 2003;Taggart et al 2007). Thus, acoustic impedance fluctuations can be used to identify the dominant tissue scattering source, improving the diagnostic and monitoring capabilities of ultrasound.…”

Section: Introductionmentioning

confidence: 82%

“…The acoustic impedance mismatch detected between the cytoplasm and nucleus indicates the potential of the nucleus to be a scattering source in quantitative ultrasound analysis (QUS). Others have suggested the nucleus as the major scattering source in tissues with high cellular content (Czarnota et al 1999;Kolios et al 2003;Taggart et al 2007). The average size ratio of the cytoplasm to the nucleus suggests that the highest acoustic impedance mismatch occurs between the medium and the cytoplasm.…”

Section: Discussionmentioning

confidence: 99%

“…The BSC has been used to characterize tissue microstructures in ocular, myocardial, liver and kidney tissues (Insana et al 1992;Lizzi et al 1983Lizzi et al , 1987Wear 1987). Additionally, maps of the spatial distribution of the BSC were used to monitor high-intensity focused ultrasound (HIFU) treatments (Kemmerer et al 2010), detect abnormal lymph nodes (Mamou et al 2011), differentiate between cancer tissues (Hruska et al 2009;Oelze et al 2004) and identify various forms of cell death (Kolios et al 2002(Kolios et al , 2003. In some cases, the BSC could not be used to identify breast cancers, although the optical images displayed a clear difference in the cellular microstructure (Oelze and Zachary 2006).…”

Section: Introductionmentioning

confidence: 99%

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High-Frequency Acoustic Impedance Imaging of Cancer Cells

Fadhel

Berndl

Strohm

et al. 2015

Ultrasound in Medicine & Biology

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Section: Introductionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High-Frequency Acoustic Impedance Imaging of Cancer Cells

Fadhel

Berndl

Strohm

et al. 2015

Ultrasound in Medicine & Biology

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“…Specifically, the nuclei of the cells were hypothesized to be a strong scatterer relative to the rest of the cell [2,7]. Therefore, the nuclei of the cells were modeled as fluid-filled spheres and the cell cytoplasm and extracellular matrix were modeled as a uniform background.…”

Section: Modelsmentioning

confidence: 99%

High Frequency Quantitative Ultrasound Imaging of Solid Tumors in Mice

2007

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Abstract:A mammary carcinoma and a sarcoma were grown in mice and imaged with ultrasound transducers operating with a center frequency of 20 MHz. Quantitative ultrasound (QUS) analysis was used to characterize the tumors using the bandwidth of 10 to 25 MHz. Initial QUS estimates of the scatterer properties (average scatterer diameter and acoustic concentration) did not reveal differences between the two kinds of tumors. Examination of the tumors using light microscopy indicated definite structural differences between the two kinds of tumors. In order to draw out the structural differences with ultrasound, a higher frequency probe (center frequency measured at 70 MHz) was used to interrogate the two kinds of tumors and new models were applied to the QUS analysis. QUS scatterer diameter images of the tumors were constructed using the high frequency probe. Several models for scattering were implemented to obtain estimates of scatterer properties in order to relate estimated scatterer properties to real tissue microstructure. The Anderson model for scattering from a fluid-filled sphere differentiated the two kinds of tumors but did not yield scatterer property estimates that resembled underlying structure. Using the Anderson model, the average estimated scatterer diameters were 25.5 ± 0.14 µm for the carcinoma and 57.5 ± 2.90 for the sarcoma. A new cell model was developed, which was based on scattering from a cell by incorporating the effects of the cytoskeleton and nucleus. The new cell model yielded estimates that appeared to reflect underlying structure more accurately but did not separate the two kinds of tumors. Using the new cell model, the average estimated scatterer diameters were 15.6 ± 2.2 µm for the carcinoma and 16.8 ± 3.82 µm for the sarcoma. The new cell model yielded estimates close to the actual nuclear diameter of the cell (13 µm)

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“…7 The spectral analysis results from SAM can be compared to histological images of the EVPOME tissues at different stages of growth and development. By correlating changes in the RF data to the EVPOME (and mucosal cells in general) undergoing differentiation, apoptosis, 15,16 and keratinization, we can better understand the physiological processes of these cells as they evolve.…”

mentioning

confidence: 99%

Characterizing Morphology and Nonlinear Elastic Properties of Normal and Thermally Stressed Engineered Oral Mucosal Tissues Using Scanning Acoustic Microscopy

Winterroth

Hollman

Kuo

et al. 2013

Tissue Engineering Part C: Methods

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This study examines the use of high-resolution ultrasound to monitor changes in the morphology and nonlinear elastic properties of engineered oral mucosal tissues under normal and thermally stressed culture conditions. Nonlinear elastic properties were determined by first developing strain maps from acoustic ultrasound, followed by fitting of nonlinear stress-strain data to a 1-term Ogden model. Testing examined a clinically developed ex vivo produced oral mucosa equivalent (EVPOME). As seeded cells proliferate on an EVPOME surface, they produce a keratinized protective upper layer that fills in and smoothens out surface irregularities. These transformations can also alter the nonlinear stress/strain parameters as EVPOME cells differentiate. This EVPOME behavior is similar to those of natural oral mucosal tissues and in contrast to an unseeded scaffold. If ultrasonic monitoring could be developed, then tissue cultivation could be adjusted in-process to account for biological variations in their development of the stratified cellular layer. In addition to ultrasonic testing, an inhouse-built compression system capable of accurate measurements on small (*1.0-1.5 cm 2 ) tissue samples is presented. Results showed a near 2.5-fold difference in the stiffness properties between the unstressed EVPOME and the noncell-seeded acellular scaffold (AlloDerm Ò ). There were also 4 · greater differences in root mean square values of the thickness in the unseeded AlloDerm compared to the mature unstressed EVPOME; this is a strong indicator for quantifying surface roughness.

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An investigation of backscatter power spectra from cells, cell pellets and microspheres

Cited by 32 publications

References 6 publications

High-Frequency Acoustic Impedance Imaging of Cancer Cells

High-Frequency Acoustic Impedance Imaging of Cancer Cells

High Frequency Quantitative Ultrasound Imaging of Solid Tumors in Mice

Characterizing Morphology and Nonlinear Elastic Properties of Normal and Thermally Stressed Engineered Oral Mucosal Tissues Using Scanning Acoustic Microscopy

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