Methods for Modeling and Predicting Mechanical Deformations of the Breast under External Perturbations

Azar, Fred S.; Metaxas, Dimitris N.; Schnall, Mitchell D.

doi:10.1016/s1570-8659(03)12007-8

Cited by 13 publications

(17 citation statements)

References 39 publications

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“…Azar et al, 2002;Krouskop et al, 1998;Van Houten et al, 2003;Sarvazyan et al, 1994;Samani et al, 2007) or porcine subcutaneous specimens (e.g. Geerligs et al, 2008;Comley & Fleck, 2010;Comley & Fleck, 2012), which have been shown to exhibit similarities in morphology, histology, and overall mechanical response with human tissues (Douglas et al, 1972;Paus et al, 2007).…”

Section: Subcutaneous Adipose Tissuementioning

confidence: 99%

“…Under quasi-static strain rates, studies have shown the elastic modulus of adipose to be approximately between 1-4.5kPa (Azar et al, 2002;Samani & Plewes, 2004;Samani et al, 2007;Sims et al, 2010;Comley & Fleck, 2012) with little strain rate sensitivities between 2x10 -3 -10s -1 (Comley & Fleck, 2012). Beyond 10s -1 , significant sensitivity has been observed (Miller-Young et al, 2002;Gefen & Haberman, 2007;Comley & Fleck, 2012).…”

Section: Subcutaneous Adipose Tissuementioning

confidence: 99%

See 1 more Smart Citation

The evaluation of new multi-material human soft tissue simulants for sports impact surrogates

Payne

Mitchell

Bibb

et al. 2015

Journal of the Mechanical Behavior of Biomedical Materials

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Section: Subcutaneous Adipose Tissuementioning

confidence: 99%

Section: Subcutaneous Adipose Tissuementioning

confidence: 99%

The evaluation of new multi-material human soft tissue simulants for sports impact surrogates

Payne

Mitchell

Bibb

et al. 2015

Journal of the Mechanical Behavior of Biomedical Materials

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“…Schnabel et al [9] used linear elasticity to approximate the displacement of breast tissue. Azar et al [5,13] model the whole displacement as consisting of a large number of tiny displacements that are computed using linear elasticity, this approach allows an exponential stress -strain relationship to be built into the model. Samani et al [6] and Liu et al [7] used non-linear elasticity when computing displacements, allowing more general stress -strain relationships to be built into the model.…”

Section: Numerical Methods For Soft Tissue Modellingmentioning

confidence: 99%

The Solution of Inverse Non‐Linear Elasticity Problems That Arise When Locating Breast Tumours

Whiteley

2005

Computational and Mathematical Methods in Medicine

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Non-linear elasticity theory may be used to calculate the coordinates of a deformed body when the coordinates of the undeformed, stress-free body are known. In some situations, such as one of the steps in the location of tumours in a breast, the coordinates of the deformed body are known and the coordinates of the undeformed body are to be calculated, i.e. we require the solution of the inverse problem. Other than for situations where classical linear elasticity theory may be applied, the simple approach for solving the inverse problem of reversing the direction of gravity and modelling the deformed body as an undeformed body does not give the correct solution. In this study, we derive equations that may be used to solve inverse problems. The solution of these equations may be used for a wide range of inverse problems in non-linear elasticity.

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“…For example, methods have been developed for mechanical modeling of breast deformations [12,13] and simulation of steerable needle insertion for prostate therapy [14][15][16]. Deformation of a planar tissue phantom during needle insertion has been investigated using a linear elastic material model [17,18].…”

Section: Related Researchmentioning

confidence: 99%

Preloading based needle insertion with a concave probe to enhance targeting in breast tissue

et al. 2014

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Target displacement cased by tissue deformation is a major technical challenge in ultrasound-guided needle insertion for breast tumor treatment or biopsy. We previously developed a preloading-based needle insertion method, which consists of a preloading phase and an insertion phase, and validated its placement accuracy. The present study furthered this research by focusing on a new concave preloading probe to enhance needle insertion targeting. With this probe, we evaluated the several probe size for different tumor diameters and locations to investigate the geometry effect on insertion accuracy. In this in vitro study, preloading-based needle insertion with concave probe of the same diameter as that of the tumor showed the highest placement accuracy for shallow tumors, while concave probe of a larger diameter than that of the tumor showed the highest placement accuracy for deep tumors. Overall, the concave preloading probe described in this study decreased needle placement error. Future research focused on its evaluation by structural analysis based on soft tissue modelling and deformation simulation.

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Methods for Modeling and Predicting Mechanical Deformations of the Breast under External Perturbations

Cited by 13 publications

References 39 publications

The evaluation of new multi-material human soft tissue simulants for sports impact surrogates

The evaluation of new multi-material human soft tissue simulants for sports impact surrogates

The Solution of Inverse Non‐Linear Elasticity Problems That Arise When Locating Breast Tumours

Preloading based needle insertion with a concave probe to enhance targeting in breast tissue

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