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

Ultrasonic Imaging
Bonghun ShinHyock-Ju Kwon

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.

References

Dec 1, 1967·The American Journal of Physiology·Y C Fung
Jan 1, 1982·Ultrasound in Medicine & Biology·E L MadsenG R Frank
Jan 1, 1995·Ultrasound in Medicine & Biology·H PonnekantiI Céspedes
Mar 4, 1998·Physics in Medicine and Biology·M Bilgen, M F Insana
Apr 10, 1999·Ultrasonic Imaging·T A KrouskopT Hall
Oct 5, 2001·IEEE Transactions on Medical Imaging·A SamaniD B Plewes
May 14, 2004·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Jérémy BercoffMathias Fink
Apr 13, 2005·IEEE Transactions on Medical Imaging·Radj A BaldewsingAntonius F W van der Steen
Feb 2, 2006·CA: a Cancer Journal for Clinicians·Robert A SmithHarmon J Eyre
Feb 9, 2006·Ultrasound in Medicine & Biology·Radj A BaldewsingAntonius F W van der Steen
Feb 18, 2006·Radiology·Ako ItohTakeshi Matsumura
Jan 12, 2007·European Journal of Radiology·L LevyB Martin
Mar 1, 2007·Physics in Medicine and Biology·Paul E Barbone, Assad A Oberai
Jan 1, 1996·IEEE Transactions on Medical Imaging·F Kallel, M Bertrand
Jan 10, 2009·Physics in Medicine and Biology·Michael S RichardsAssad A Oberai
Sep 29, 2011·Journal of Biomechanical Engineering·Simona CeliPaola Forte
Jan 10, 2012·Physics in Medicine and Biology·M M Doyley
Jul 10, 2012·Physics in Medicine and Biology·Theo Z PavanTimothy J Hall
Sep 12, 2012·Journal of the Mechanical Behavior of Biomedical Materials·Yougun HanHyock-Ju Kwon
Jan 22, 2013·CA: a Cancer Journal for Clinicians·Rebecca SiegelAhmedin Jemal
Dec 1, 2002·Journal of Medical Ultrasonics·Jonathan OphirTomy Varghese

❮ Previous
Next ❯

Citations

Jul 4, 2017·Ultrasonic Imaging·Bonghun ShinHyock Ju Kwon
Oct 27, 2017·Biomedical Engineering Letters·Bonghun ShinHyock Ju Kwon
May 1, 2020·Scientific Reports·Md Tauhidul IslamRaffaella Righetti

❮ Previous
Next ❯

Methods Mentioned

BETA
biopsy

Software Mentioned

MATLAB
Abaqus
cftool

Related Concepts

Related Feeds

Cancer Imaging

Imaging techniques, including CT and MR, have become essential to tumor detection, diagnosis, and monitoring. Here is the latest research on cancer imaging.

Related Papers

Physics in Medicine and Biology
Theo Z PavanTimothy J Hall
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Tingting ZhaoWubin Niu
The Indian Journal of Radiology & Imaging
Ioana Andreea GheoneaSimona Bondari
© 2021 Meta ULC. All rights reserved