Anthropomorphic Phantoms for Assessment of Strain Imaging Methods Involving Saline-Infused Sonohysterography

Hobson, Maritza A.; Madsen, Ernest L.; Frank, Gary R.; Jiang, Jingfeng; Shi, Hu; Hall, Timothy J.; Varghese, Tomy

doi:10.1016/j.ultrasmedbio.2008.02.013

Cited by 14 publications

(13 citation statements)

References 18 publications

(35 reference statements)

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“…Anthropomorphic phantoms have been implemented in other imaging modalities and have been used to demonstrate that simple, nonanthropomorphic phantoms produce misleading results when used to optimize imaging systems. 24,[57][58][59] The phantom described in this work will provide a much-needed platform for better understanding the interaction of breast MRI acquisition parameters with lesion detection and estimation.…”

Section: Discussionmentioning

confidence: 99%

An anthropomorphic phantom for quantitative evaluation of breast MRI

et al. 2011

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Purpose: In this study, the authors aim to develop a physical, tissue-mimicking phantom for quantitative evaluation of breast MRI protocols. The objective of this phantom is to address the need for improved standardization in breast MRI and provide a platform for evaluating the influence of image protocol parameters on lesion detection and discrimination. Quantitative comparisons between patient and phantom image properties are presented. Methods: The phantom is constructed using a mixture of lard and egg whites, resulting in a random structure with separate adipose-and glandular-mimicking components. T 1 and T 2 relaxation times of the lard and egg components of the phantom were estimated at 1.5 T from inversion recovery and spin-echo scans, respectively, using maximum-likelihood methods. The image structure was examined quantitatively by calculating and comparing spatial covariance matrices of phantom and patient images. A static, enhancing lesion was introduced by creating a hollow mold with stereolithography and filling it with a gadolinium-doped water solution. Results: Measured phantom relaxation values fall within 2 standard errors of human values from the literature and are reasonably stable over 9 months of testing. Comparison of the covariance matrices of phantom and patient data demonstrates that the phantom and patient data have similar image structure. Their covariance matrices are the same to within error bars in the anterior-posterior direction and to within about two error bars in the right-left direction. The signal from the phantom's adipose-mimicking material can be suppressed using active fat-suppression protocols. A static, enhancing lesion can also be included with the ability to change morphology and contrast agent concentration. Conclusions: The authors have constructed a phantom and demonstrated its ability to mimic human breast images in terms of key physical properties that are relevant to breast MRI. This phantom provides a platform for the optimization and standardization of breast MRI imaging protocols for lesion detection and characterization.

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Section: Discussionmentioning

confidence: 99%

An anthropomorphic phantom for quantitative evaluation of breast MRI

et al. 2011

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“…The model was discretized into 9800 rectangular solid elements with a refined mesh in the vicinity of the EMI surface for the numerical simulations. Based on data in the literature, we assumed the following reference values for the computational simulations: L = 50 mm, W e = 2.5 mm, λ = 25 mm (or n = 2), E e = 10 5 Pa, E m = 1 MPa, ν e = ν m = 0.49, P 0 = 200 mmHg and T = 100 s (van Gestel et al 2003;Martini et al 2011;Nalaboff et al 2001;Strohmer et al 1994;Kiss et al 2006;Hobson et al 2008;Cibils 1967;Hendricks 1966). A sensitivity analysis was conducted to investigate the dependence of the stress field within the wall on uterine wall characteristics and pressure wave features.…”

Section: Methodsmentioning

confidence: 99%

Uterine peristalsis-induced stresses within the uterine wall may sprout adenomyosis

Shaked

Jaffa

Grisaru

et al. 2014

Biomech Model Mechanobiol

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Adenomyosis is a disease in which ectopic endometrial glands and stromal cells appear in the uterine myometrium. This pathology is common among women of reproductive age, and in addition to chronic pelvic pain and heavy periods it may also cause infertility. The 'tissue injury and repair' mechanism in response to increased intrauterine pressures was proposed as the etiology for migration of fragments of basal endometrium into the myometrial wall. In order to investigate this mechanism, a conceptual two-dimensional model of the uterine wall subjected to intrauterine pressures was implemented using ADINA commercial software. The stress field within the uterine wall was examined for a variety of intrauterine sinusoidal pressure waves with varying frequencies. The results revealed that: (1) as the wavelength of the subjected pressure wave decreased, high concentration of stresses developed near the inner uterine cavity; (2) as the pressure wave frequency increased, high gradients of the stresses were obtained; (3) at menstrual phase, the highest stresses obtained at the endometrial-myometrial interface. Therefore, increased uterine activity results in high stresses which may lead to tissue lesions and detachment of endometrial cells.

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“…Human trials often associate with increasingly high costs (Collier, 2009), while developments of realistic tissue-mimicking breast phantoms that can resemble the complexity of human organs and tissue properties remain as a significant challenge (Madsen et al , 2006; Hobson et al , 2008). In this study, we suggest that the proposed virtual ultrasound elastography simulation platform could be used as an alternative.…”

Section: Discussionmentioning

confidence: 99%

Building an open-source simulation platform of acoustic radiation force-based breast elastography

2017

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Ultrasound-based elastography including strain elastography (SE), acoustic radiation force Impulse (ARFI) imaging, point shear wave elastography (pSWE) and supersonic shear imaging (SSI) have been used to differentiate breast tumors among other clinical applications. The objective of this study is to extend a previously published virtual simulation platform built for ultrasound quasi-static breast elastography toward acoustic radiation force-based breast elastography. Consequently, the extended virtual breast elastography simulation platform can be used to validate image pixels with known underlying soft tissue properties (i.e. “ground truth”) in complex, heterogeneous media, enhancing confidence in elastographic image interpretations. The proposed virtual breast elastography system inherited four key components from the previously published virtual simulation platform: an ultrasound simulator (Field II), a mesh generator (Tetgen), a finite element solver (FEBio) and a visualization and data processing package (VTK). Using a simple message passing mechanism, functionalities have now been extended to acoustic radiation force-based elastography simulations. Examples involving three different numerical breast models with increasing complexity – one uniform model, one simple inclusion model and one virtual complex breast model derived from magnetic resonance imaging data, were used to demonstrate capabilities of this extended virtual platform. Overall, simulation results were compared with the published results. In the uniform model, the estimated shear wave speed (SWS) values were within 4% compared to the predetermined SWS values. In the simple inclusion and the complex breast models, SWS values of all hard inclusions in soft backgrounds were slightly underestimated, similar to what has been reported. The elastic contrast values and visual observation show that ARFI images have higher spatial resolution, while SSI images can provide higher inclusion-to-background contrast. In summary, our initial results were consistent with our expectations and what have been reported in the literature. The proposed (open-source) simulation platform can serve as a single gateway to perform many elastographic simulations in a transparent manner, thereby promoting collaborative developments.

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Anthropomorphic Phantoms for Assessment of Strain Imaging Methods Involving Saline-Infused Sonohysterography

Cited by 14 publications

References 18 publications

An anthropomorphic phantom for quantitative evaluation of breast MRI

An anthropomorphic phantom for quantitative evaluation of breast MRI

Uterine peristalsis-induced stresses within the uterine wall may sprout adenomyosis

Building an open-source simulation platform of acoustic radiation force-based breast elastography

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