Application of Eshelby’s Solution to Elastography for Diagnosis of Breast Cancer

Article ID

6920T

Application of Eshelby’s Solution to Elastography for Diagnosis of Breast Cancer

Chunfang Meng
Chunfang Meng
Bonghun Shin
Bonghun Shin
Darindra Gopaul
Darindra Gopaul
Samantha Fienberg
Samantha Fienberg
Hyock Ju Kwon
Hyock Ju Kwon
DOI

Abstract

Eshelby’s solution is the analytical method that can derive the elastic field within and around an ellipsoidal inclusion embedded in a matrix. Since breast tumor can be regarded as an elastic inclusion with different elastic properties from those of surrounding matrix when the deformation is small, we applied Eshelby’s solution to predict the stress and strain fields in the breast containing a suspicious lesion. The results were used to investigate the effectiveness of strain ratio (SR) from elastography in representing modulus ratio (MR) that may be the meaningful indicator of the malignancy of the lesion. This study showed that SR significantly underestimates MR and is varied with the shape and the modulus of the lesion. Based on the results from Eshelby’s solution and finite element analysis (FEA), we proposed a surface regression model as a polynomial function that can predict the MR of the lesion to the matrix. The model has been applied to gelatin-based phantoms and clinical ultrasound images of human breasts containing different types of lesions. The results suggest the potential of the proposed method to improve the diagnostic performance of breast cancer using elastography.

Application of Eshelby’s Solution to Elastography for Diagnosis of Breast Cancer

Eshelby’s solution is the analytical method that can derive the elastic field within and around an ellipsoidal inclusion embedded in a matrix. Since breast tumor can be regarded as an elastic inclusion with different elastic properties from those of surrounding matrix when the deformation is small, we applied Eshelby’s solution to predict the stress and strain fields in the breast containing a suspicious lesion. The results were used to investigate the effectiveness of strain ratio (SR) from elastography in representing modulus ratio (MR) that may be the meaningful indicator of the malignancy of the lesion. This study showed that SR significantly underestimates MR and is varied with the shape and the modulus of the lesion. Based on the results from Eshelby’s solution and finite element analysis (FEA), we proposed a surface regression model as a polynomial function that can predict the MR of the lesion to the matrix. The model has been applied to gelatin-based phantoms and clinical ultrasound images of human breasts containing different types of lesions. The results suggest the potential of the proposed method to improve the diagnostic performance of breast cancer using elastography.

Chunfang Meng
Chunfang Meng
Bonghun Shin
Bonghun Shin
Darindra Gopaul
Darindra Gopaul
Samantha Fienberg
Samantha Fienberg
Hyock Ju Kwon
Hyock Ju Kwon

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Chunfang Meng. 2019. “. Global Journal of Medical Research – D: Radiology, Diagnostic GJMR-D Volume 19 (GJMR Volume 19 Issue D1): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-D Classification: NLMC Code: WB 200
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Application of Eshelby’s Solution to Elastography for Diagnosis of Breast Cancer

Chunfang Meng
Chunfang Meng
Bonghun Shin
Bonghun Shin
Darindra Gopaul
Darindra Gopaul
Samantha Fienberg
Samantha Fienberg
Hyock Ju Kwon
Hyock Ju Kwon

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