Magnetic resonance elastography technique for breast tissue in-vitro elasticity measurement

Samani, Abbas; Luginbuhl, C.; Plewes, Don B.

doi:10.1109/isbi.2002.1029414

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…We assume that the Young's modulus of the normal tissue is known with a value of 1.9 kPa. This is an average Young's modulus value for adipose and fibroglandular breast tissues that we have obtained from testing over 100 normal breast tissue specimens the results (Samani and Plewes 2002). Because of tissue interaction, the said boundary conditions of the tumour's volume are not only dependent on the Young's modulus of the surrounding tissue but also on that of the tumour tissue itself.…”

Section: Data Inversion Algorithmmentioning

confidence: 91%

“…This technique proved to be effective for measuring small ex vivo normal breast tissue samples routinely available post-surgery. Using this technique, the Young's modulus of over 160 breast tissue samples, the majority of which were normal tissue samples, was measured (Samani and Plewes 2002). While effective with normal tissue samples, this technique cannot be used with tumour slices used for histopathology as further shaping of the tissue into a cylindrical or cubic shape would destroy important information concerning tumour composition, orientation and most importantly tumour margin needed to assess the success of lumpectomy or mastectomy.…”

Section: Introductionmentioning

confidence: 99%

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An inverse problem solution for measuring the elastic modulus of intactex vivobreast tissue tumours

Samani

Plewes

2007

Phys. Med. Biol.

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Soft tissue elasticity has been a subject of interest in biomedical applications as an aid to medical diagnosis since the dawn of medicine. More recently, this has led to the concept of elastography with the aim of imaging the spatial distribution of tissue elasticity. Interpreting elastography images requires reliable information pertaining to elastic properties of normal and pathological tissues. Such information is either very limited or not available in the literature. Elastic modulus measurement techniques developed for soft tissues generally require tissue excision to prepare samples for testing. While this may be done with normal tissues, tumour tissue excision is generally not permissible because tumour pathological assessment requires that the tumour be kept intact. To address this limitation, we developed a system to measure the Young's modulus of tumour specimens. The technique consists of indenting the tumour specimen while measuring indentation force and displacements. To obtain the Young's modulus from the measured force-displacement slope, we developed an iterative inversion technique that uses a finite element model of the piecewise homogeneous tissue slice in each iteration. Preliminary elasticity measurement results of various breast tumours are presented and discussed. These results indicate that the proposed method is robust and highly accurate. Furthermore, they indicate that a benign lesion and malignant tumours are roughly five times and ten times stiffer than normal breast tissues respectively.

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Section: Data Inversion Algorithmmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

An inverse problem solution for measuring the elastic modulus of intactex vivobreast tissue tumours

Samani

Plewes

2007

Phys. Med. Biol.

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“…The proposed reconstruction technique follows the constrained technique introduced by Samani et al (2003Samani et al ( , 2001 which assumes that the breast tissue can be segmented such that the normal and pathological tissues can be separated reasonably accurately. This assumption was shown to be valid when MRI is being used for imaging the breast tissue.…”

Section: Constrained Hyperelastic Parameter Reconstructionmentioning

confidence: 99%

“…In general, the problem of elastic modulus reconstruction is a highly ill-posed inverse problem, especially in 3D. To overcome this problem, Plewes et al (2000), Samani et al (2003), Mehrabian and Samani (2008), and Samani et al (2001)) proposed a constrained elastography technique. This method assumes uniform elasticity modulus distribution throughout each tissue volume.…”

Section: Introductionmentioning

confidence: 99%

A constrained reconstruction technique of hyperelasticity parameters for breast cancer assessment

Mehrabian¹,

Campbell²,

Samani³

2010

Phys. Med. Biol.

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In breast elastography, breast tissue usually undergoes large compression resulting in significant geometric and structural changes. This implies that breast elastography is associated with tissue nonlinear behavior. In this study, an elastography technique is presented and an inverse problem formulation is proposed to reconstruct parameters characterizing tissue hyperelasticity. Such parameters can potentially be used for tumor classification. This technique can also have other important clinical applications such as measuring normal tissue hyperelastic parameters in vivo. Such parameters are essential in planning and conducting computer-aided interventional procedures. The proposed parameter reconstruction technique uses a constrained iterative inversion; it can be viewed as an inverse problem. To solve this problem, we used a nonlinear finite element model corresponding to its forward problem. In this research, we applied Veronda-Westmann, Yeoh and polynomial models to model tissue hyperelasticity. To validate the proposed technique, we conducted studies involving numerical and tissue-mimicking phantoms. The numerical phantom consisted of a hemisphere connected to a cylinder, while we constructed the tissue-mimicking phantom from polyvinyl alcohol with freeze-thaw cycles that exhibits nonlinear mechanical behavior. Both phantoms consisted of three types of soft tissues which mimic adipose, fibroglandular tissue and a tumor. The results of the simulations and experiments show feasibility of accurate reconstruction of tumor tissue hyperelastic parameters using the proposed method. In the numerical phantom, all hyperelastic parameters corresponding to the three models were reconstructed with less than 2% error. With the tissue-mimicking phantom, we were able to reconstruct the ratio of the hyperelastic parameters reasonably accurately. Compared to the uniaxial test results, the average error of the ratios of the parameters reconstructed for inclusion to the middle and external layers were 13% and 9.6%, respectively. Given that the parameter ratios of the abnormal tissues to the normal ones range from three times to more than ten times, this accuracy is sufficient for tumor classification.

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“…20,21 For actual quantitative data of tissue stiffness, the local tissue morphology must be known and non-linear viscoelastic properties accounted for. [22][23][24] There are so far no reported designs that purport all of these properties simultaneously. Tactile sensor arrays are useful to produce pressure distribution maps for more accurate positioning of subsurface anatomical features, more convenient than the use of medical image guidance.…”

Section: Tactile Sensing In Minimally Invasive Surgerymentioning

confidence: 99%

Magnetic resonance imaging-compatible tactile sensing device based on a piezoelectric array

Hamed

Masamune

Tse

et al. 2012

Proc Inst Mech Eng H

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Minimally invasive surgery is a widely used medical technique, one of the drawbacks of which is the loss of direct sense of touch during the operation. Palpation is the use of fingertips to explore and make fast assessments of tissue morphology. Although technologies are developed to equip minimally invasive surgery tools with haptic feedback capabilities, the majority focus on tissue stiffness profiling and tool-tissue interaction force measurement. For greatly increased diagnostic capability, a magnetic resonance imaging-compatible tactile sensor design is proposed, which allows minimally invasive surgery to be performed under image guidance, combining the strong capability of magnetic resonance imaging soft tissue and intuitive palpation. The sensing unit is based on a piezoelectric sensor methodology, which conforms to the stringent mechanical and electrical design requirements imposed by the magnetic resonance environment The sensor mechanical design and the device integration to a 0.2 Tesla open magnetic resonance imaging scanner are described, together with the device's magnetic resonance compatibility testing. Its design limitations and potential future improvements are also discussed. A tactile sensing unit based on a piezoelectric sensor principle is proposed, which is designed for magnetic resonance imaging guided interventions.

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Magnetic resonance elastography technique for breast tissue in-vitro elasticity measurement

Cited by 5 publications

References 6 publications

An inverse problem solution for measuring the elastic modulus of intactex vivobreast tissue tumours

An inverse problem solution for measuring the elastic modulus of intactex vivobreast tissue tumours

A constrained reconstruction technique of hyperelasticity parameters for breast cancer assessment

Magnetic resonance imaging-compatible tactile sensing device based on a piezoelectric array

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