Repeatability of Linear and Nonlinear Elastic Modulus Maps from Repeat Scans in the Breast

Daniel I. Gendin, Rohit Nayak, Yuqi Wang, Mahdi Bayat, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi

Research output: Contribution to journalArticlepeer-review


Compression elastography allows the precise measurement of large deformations of soft tissue in vivo. From an image sequence showing tissue undergoing large deformation, an inverse problem for both the linear and nonlinear elastic moduli distributions can be solved. As part of a larger clinical study to evaluate nonlinear elastic modulus maps (NEMs) in breast cancer, we evaluate the repeatability of linear and nonlinear modulus maps from repeat measurements. Within the cohort of subjects scanned to date, 20 had repeat scans. These repeated scans were processed to evaluate NEM repeatability. In vivo data were acquired by a custom-built, digitally controlled, uniaxial compression device with force feedback from the pressure-plate. RF-data were acquired using plane-wave imaging, at a frame-rate of 200 Hz, with a ramp-And-hold compressive force of 8N, applied at 8N/sec. A 2D block-matching algorithm was used to obtain sample-level displacement fields which were then tracked at subsample resolution using 2D cross correlation. Linear and nonlinear elasticity parameters in a modified Veronda-Westmann model of tissue elasticity were estimated using an iterative optimization method. For the repeated scans, B-mode images, strain images, and linear and nonlinear elastic modulus maps are measured and compared. Results indicate that when images are acquired in the same region of tissue and sufficiently high strain is used to recover nonlinearity parameters, then the reconstructed modulus maps are consistent.

Original languageEnglish (US)
Article number9249387
Pages (from-to)748-757
Number of pages10
JournalIEEE transactions on medical imaging
Issue number2
StatePublished - Feb 2021


  • Elastography
  • breast cancer
  • elastic modulus
  • elastic nonlinearity
  • inverse problem
  • quantitative

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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