Ultrasonic backscatter coefficient quantitative estimates from high-concentration Chinese hamster ovary cell pellet biophantoms

Han, Aiguo; Abuhabsah, Rami; Blue, James P.; Sarwate, Sandhya; O’Brien, William D.

doi:10.1121/1.3655879

Cited by 33 publications

(27 citation statements)

References 27 publications

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“…Fig. 3 shows BSC curves for CHO cell pellets with number densities ranging from 1.25 to 473 million cells/mL (Mcell/mL), and 3 independent replicates per number density [6,7]. These CHO cell pellet (volume densities 0.17% to 63%) BSC results showed good agreement with the concentric fluid spheres theory [5], particularly at lower cell concentrations (Fig.…”

Section: Biophantom Qussupporting

confidence: 64%

Quantitative ultrasound from single cells to biophantoms to tumors

O’Brien

Han

Auger

2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-There is no underestimating the importance of modern imaging to the improved detection and management of diseases such as cancer. Ultrasound offers a cost-effective and safe modern imaging modality. A quantitative approach, termed quantitative ultrasound (QUS), offers the capability to examine the anatomic microstructure of tissue, hence opening up opportunities to quantify/diagnose such microstructure. One approach to improve specificity with QUS techniques, a modelbased approach, is to develop ultrasonic scattering models that match the anatomic geometry of the tissue type under investigation. To do so, an approach from simple (individual cells) to moderate complexity (groupings of cells imbedded in a supportive structure) to significant complexity (actual tissue/tumors) has merit, especially if the degrees of complexity are with the same cell type. Therefore, an approach for improved imaging capabilities with quantitative ultrasound is that from single cells to biophantoms to tumors, and is discussed herein.

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Section: Biophantom Qussupporting

confidence: 64%

Quantitative ultrasound from single cells to biophantoms to tumors

O’Brien

Han

Auger

2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…The scatterer radius QUS images suggest that fibroadenomas have larger scatterers consistent with the glandular acini radii and that carcinomas have smaller, more uniform scatterer radii [8]. However, it is often difficult to establish a relationship between QUS scatterer property estimates and actual tissue structures (generally identified from optical microscope images) [4], [9]. Oelze and O'Brien compared three scattering models (SGM, FSM and a new cell model to consider backscattering from cell nuclei and cytoskeleton) to examine two mouse models of mammary cancers: carcinomas containing uniformly distributed cells and sarcomas containing cell clusters [4].…”

Section: Introductionmentioning

confidence: 98%

High-Frequency Quantitative Ultrasound Spectroscopy of Excised Canine Livers and Mouse Tumors Using the Structure Factor Model

Muleki-Seya

Guillermin

Guglielmi

et al. 2016

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

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Three scattering models were examined for characterizing ex vivo canine livers and HT29 mouse tumors in the 10-38- and the 15-42-MHz frequency bandwidth, respectively. The spherical Gaussian model (SGM) and the fluid sphere model (FSM) that were examined are suitable for dealing with sparse media, whereas the structure factor model (SFM) is adapted for characterizing concentrated media. For the canine livers, the scatterer radius and the acoustic concentration estimated with the three models were similar and matched well the nuclear structures obtained from histological analysis (with relative errors less than 7%). These results show that the livers could be considered as a diluted medium and that the nuclei in liver could be a dominant source of scattering. For the homogeneous mouse tumors, containing mostly viable HT29 cells, scatterer radius and volume fraction estimated with the SFM showed good agreement with the whole cell structures obtained from histological analysis (with relative errors less than 15%), whereas the sparse models (the SGM and the FSM) gave no consistent quantitative ultrasound parameters. This suggests that the viable HT29 cell areas have densely packed cellular content and that the whole HT29 cell could be responsible for scattering. For the heterogeneous tumors, the hyperechogenic zones observed in the B-mode images were linked to the presence of small necrotic areas surrounded by viable HT29 cells. Comparison between sparse and concentrated models shows that these hyperechogenic zones could be considered as a concentrated medium.

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“…This approach has been successfully used for the characterization of the eye [3], the prostate [4] and the breast [5] [6]. Other theoretical scattering models such that the fluid-filled sphere model [5] [6] or concentric sphere model [6]- [8] were also used to predict average scatterer sizes. The aforementioned models (Gaussian model, fluid-filled sphere model and concentric sphere model) assumed a random distribution of scatterers (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…The biophantoms had identical cells but had different cell volume fractions ranging from 0.03 to 0.3. As originally proposed in [7], [8], the cell pellet biophantoms are a simplified version of real tissues since only a single cell line is considered. The concentrated biophantoms allow to mimic densely packed cells with controlled cell volume fractions.…”

Section: Introductionmentioning

confidence: 99%

On the use of the Structure Factor Model to understand the measured backscatter coefficient from concentrated cell pellet biophantoms

Franceschini

Guillermin

Tourniaire

et al. 2013

2013 IEEE International Ultrasonics Symposium (IUS)

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Quantitative ultrasound technique utilizes the amplitude and frequency dependence of the backscatter coefficient (BSC) to estimate the size and concentration of scatterers. QUS techniques rely on theoretical scattering models to fit the BSC from biological tissues to an estimated BSC using an appropriate model. Franceschini and Guillermin (J. Acoust. Soc. Am. 132(6) 3735-7347 2012) recently showed that the Structure Factor Model (SFM) was the more suitable theoretical scattering model for dealing with concentrated medium, such as densely packed cells in tumors. The aim of the present study is to use the SFM to understand and identify the scattering sites in concentrated cell pellet biophantoms. The biophantoms consisted of a suspension of human erythromyeloblastoid leukemia (K562) cells trapped in a mixture of plasma and thrombin. The biophantoms had identical cells (cell radius rc around 6.44 μm) but had different cell volume fractions φc of 0.03, 0.06, 0.18 and 0.30. Ultrasonic backscatter measurements were made from frequencies from 10 MHz to 42 MHz using an ultrasound scanner (Vevo 770, Visualsonics, Toronto, Canada) equipped with the RMV 710 and 703 probes.In order to understand these four measured BSC behaviors, one cell (composed of a nucleus and of a cytoplasm) was assumed to scatter as an effective and single fluid sphere. An optimization procedure was then performed to minimize a cost function, which is the average over frequency of the difference between the sum of four measured BSC and the sum of four estimated BSC using the SFM. Two parameters were estimated: the effective scatterer radius and the corresponding effective impedance contrast. The goodness of the fit for the cell concentration ranging from 0.03 to 0.18 shows that the SFM is sufficient to explain the frequency-dependance and amplitude of the measured BSC from concentrated cell pellet biophantoms. Using the SFM and K562 cell pellet biophantoms, we found that the main cellular structure responsive for scattering in the frequency range 10-42 MHz is the entire cell.

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Ultrasonic backscatter coefficient quantitative estimates from high-concentration Chinese hamster ovary cell pellet biophantoms

Cited by 33 publications

References 27 publications

Quantitative ultrasound from single cells to biophantoms to tumors

Quantitative ultrasound from single cells to biophantoms to tumors

High-Frequency Quantitative Ultrasound Spectroscopy of Excised Canine Livers and Mouse Tumors Using the Structure Factor Model

On the use of the Structure Factor Model to understand the measured backscatter coefficient from concentrated cell pellet biophantoms

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