A study of breast motion using non-linear dynamic FE analysis

Chen, Lihua; Ng, Sun Pui; Yu, Winnie; Zhou, Jie; Wan, Kam-Ming

doi:10.1080/00140139.2013.777798

Cited by 25 publications

(21 citation statements)

References 24 publications

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“…All this evidence suggests that the viscous phase may become a biomarker for the characterization of microstructural changes [123][124][125][126][127]. Table 2 shows some indications of the current status of this parameter in terms of limitations and characteristics that have been specified for some ultrasound elastography methods.…”

Section: Viscoelasticitymentioning

confidence: 99%

Why Are Viscosity and Nonlinearity Bound to Make an Impact in Clinical Elastographic Diagnosis?

Rus

Faris

Torres

et al. 2020

Sensors

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The adoption of multiscale approaches by the biomechanical community has caused a major improvement in quality in the mechanical characterization of soft tissues. The recent developments in elastography techniques are enabling in vivo and non-invasive quantification of tissues’ mechanical properties. Elastic changes in a tissue are associated with a broad spectrum of pathologies, which stems from the tissue microstructure, histology and biochemistry. This knowledge is combined with research evidence to provide a powerful diagnostic range of highly prevalent pathologies, from birth and labor disorders (prematurity, induction failures, etc.), to solid tumors (e.g., prostate, cervix, breast, melanoma) and liver fibrosis, just to name a few. This review aims to elucidate the potential of viscous and nonlinear elastic parameters as conceivable diagnostic mechanical biomarkers. First, by providing an insight into the classic role of soft tissue microstructure in linear elasticity; secondly, by understanding how viscosity and nonlinearity could enhance the current diagnosis in elastography; and finally, by compounding preliminary investigations of those elastography parameters within different technologies. In conclusion, evidence of the diagnostic capability of elastic parameters beyond linear stiffness is gaining momentum as a result of the technological and imaging developments in the field of biomechanics.

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Section: Viscoelasticitymentioning

confidence: 99%

Why Are Viscosity and Nonlinearity Bound to Make an Impact in Clinical Elastographic Diagnosis?

Rus

Faris

Torres

et al. 2020

Sensors

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“…The damping directly affects the magnitude of the displacements and in a small proportion, the vibration frequency. It can be observed that the tendency is to consider the breasts as under-damped systems [25,56,57].…”

Section: Modal Analysismentioning

confidence: 99%

“…With the aim of evaluating the behavior dynamic of the prosthesis model a modal analysis was performed within the frequency range of 0 to 6 Hz. This range was considered because people who walk or run have a frequency of step of 1.5 to 4.5 Hz [25,53]. In the simulation results shown in Figure 13, the prosthesis presented 4 natural frequencies and 4 modal forms.…”

Section: Modal Analysismentioning

confidence: 99%

“…[20]. There are diverse scientific and technological advances in the literature that provide computational models and finite element models focused on simulating the mammary gland for preclinical evaluation, prevention, training, diagnostic [21][22][23][24][25][26][27][28][29][30][31] or on analyzing the biomaterials used for implant reconstruction [14,15,32]. In the case of the most advanced computational models of a breast for the simulation of the anatomy is the anthropomorphic software breast phantom.…”

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confidence: 99%

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A Biomimetic Approach for Designing a Full External Breast Prosthesis: Post-Mastectomy

et al. 2018

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This work presents the design of a new breast prosthesis using the biomimetic technique for cases of complete mastectomy to address the problem of the increasing number of women diagnosed with breast cancer in Mexico who are candidates for a mastectomy. The designed prosthesis considers the morphology of a real breast regarding its internal structure to obtain authentic mobility and feel. In order to accomplish this, a model was obtained in 3D CAD using a coordinate measuring machine (CMM) that can be scalable without losing its qualities, and which can be used in any type of patient; afterwards, a finite element model was developed and a static analysis performed with suggested load cases to evaluate the sensitivity and naturalness of the prosthesis; and finally, a modal analysis was conducted. The results obtained in displacements and in distribution of stress for the load cases assessed are consistent with those of a real breast: there were smooth contours and there was natural mobility in the prosthesis designed by means of the biomimetic technique.

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“…They reported that one important limitation of their study was the employment of costly imaging techniques, such as MRI, to reconstruct the subject-specific FE breast model. To the best of the authors’ knowledge, only Chen et al ( 2013 ) proposed a FE-based method to simulate non-linear breast motion by using a 3D scanning system in order to avoid high costs deriving from MRI. The research goal consisted in the development of a FE model enabling the surgeon to predict the breast large deformations upon the effect of compressive loading conditions due to mammography plates compression, avoiding expensive imaging acquisition techniques, such as MRI, or complicated customized set-ups, such as photogrammetry systems or body scanners (Chen et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

An Anthropometric-Based Subject-Specific Finite Element Model of the Human Breast for Predicting Large Deformations

Pianigiani

Ruggiero

Innocenti

2015

Front. Bioeng. Biotechnol.

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The large deformation of the human breast threatens proper nodules tracking when the subject mammograms are used as pre-planning data for biopsy. However, techniques capable of accurately supporting the surgeons during biopsy are missing. Finite element (FE) models are at the basis of currently investigated methodologies to track nodules displacement. Nonetheless, the impact of breast material modeling on the mechanical response of its tissues (e.g., tumors) is not clear. This study proposes a subject-specific FE model of the breast, obtained by anthropometric measurements, to predict breast large deformation. A healthy breast subject-specific FE parametric model was developed and validated by Cranio-caudal (CC) and Medio-Lateral Oblique (MLO) mammograms. The model was successively modified, including nodules, and utilized to investigate the effect of nodules size, typology, and material modeling on nodules shift under the effect of CC, MLO, and gravity loads. Results show that a Mooney–Rivlin material model can estimate healthy breast large deformation. For a pathological breast, under CC compression, the nodules displacement is very close to zero when a linear elastic material model is used. Finally, when nodules are modeled, including tumor material properties, under CC, or MLO or gravity loads, nodules shift shows ~15% average relative difference.

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A study of breast motion using non-linear dynamic FE analysis

Cited by 25 publications

References 24 publications

Why Are Viscosity and Nonlinearity Bound to Make an Impact in Clinical Elastographic Diagnosis?

Why Are Viscosity and Nonlinearity Bound to Make an Impact in Clinical Elastographic Diagnosis?

A Biomimetic Approach for Designing a Full External Breast Prosthesis: Post-Mastectomy

An Anthropometric-Based Subject-Specific Finite Element Model of the Human Breast for Predicting Large Deformations

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