This is a proposal to develop new ultrasound technology to image and quantify the nonlinear elastic properties of in vivo breast tissues with the intent of significantly improving the specificity of breast ultrasound. The proposed research will incorporate a pressure sensor array into a two-dimensional (2D) ultrasound transducer array. The combined device will be used to measure the contact pressure during ultrasound elasticity imaging of the breast. Measurements of the total applied pressure distributions and corresponding 3D strain fields in the breast will feed into three principle imaging advances. First, it allows calibrations of relative mechanical strain images for comparing image contrast at known applied stress levels. Second, it provides calibration information to allow quantitative reconstruction in 3D of (linear) shear elastic modulus. Third, measuring the applied stress from the instant of contact allows an unbiased evaluation of elastic nonlinearity. Any of these three goals represents a significant improvement over current technology, and would likely improve differential diagnosis of breast masses. Preliminary data demonstrate the potential gain from such a device. First, significant improvement in strain image quality is available when 3D tracking, enabled by a 2D array, is employed. Second, the elastic nonlinearity of various tissue types appears to be unique, and of potential significance for differentiating stiff malignant masses from stiff benign masses. Recent results suggest that it is possible to image the elastic nonlinearity parameter of breast tissues. Third, measurements of ex vivo breast tissue samples found that ductal carcinoma in situ (DCIS) has the highest elastic nonlinearity of all tissues considered. Thus, although this proposal is targeted toward increasing breast ultrasound specificity, the proposed technology opens the intriguing possibility of directly imaging the 3D distribution of DCIS in the breast, which would have a profound impact on breast cancer screening, early detection and treatment prognosis. The study involves sensor development, extensive laboratory testing and the collection of clinical data to optimize the performance of the combined imaging/pressure sensor device in a clinical environment. This proposal will create a prototype of the next-generation real-time elasticity imaging system for improving breast disease detection and diagnosis. That system and the methods developed in this proposal can be replicated for a large-scale clinical trial to evaluate the accuracy performance of Quantitative Mechanical Imaging.

Public Health Relevance

This is a proposal to develop new ultrasound technology to image and quantify the nonlinear elastic properties of in vivo breast tissues with the intent of significantly improving the specificity of breast ultrasound. The proposed effort involves creating a two-dimensional ultrasound array transducer that has an integrated tactile sensor array for detecting the contact pressure distribution during elasticity imaging experiments. The resulting calibrated 3D strain images and images of elastic nonlinearity also show promise for directly imaging ductal carcinoma in situ, thereby potentially improving early detection of breast cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA140271-03
Application #
8089574
Study Section
Special Emphasis Panel (ZRG1-SBIB-U (50))
Program Officer
Baker, Houston
Project Start
2009-07-01
Project End
2014-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
3
Fiscal Year
2011
Total Cost
$605,588
Indirect Cost
Name
University of Wisconsin Madison
Department
Physics
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Vajihi, Zara; Rosado-Mendez, Ivan M; Hall, Timothy J et al. (2018) Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming. IEEE Trans Ultrason Ferroelectr Freq Control 65:2042-2053
Wang, Yuqi; Jiang, Jingfeng; Hall, Timothy J (2018) A 3-D Region-Growing Motion-Tracking Method for Ultrasound Elasticity Imaging. Ultrasound Med Biol 44:1638-1653
Tyagi, Mohit; Wang, Yuqi; Hall, Timothy J et al. (2017) Improving three-dimensional mechanical imaging of breast lesions with principal component analysis. Med Phys 44:4194-4203
Babaniyi, Olalekan A; Oberai, Assad A; Barbone, Paul E (2017) Recovering vector displacement estimates in quasistatic elastography using sparse relaxation of the momentum equation. Inverse Probl Sci Eng 25:326-362
Harvey, Brian C; Lutchen, Kenneth R; Barbone, Paul E (2017) Spatial distribution of airway wall displacements during breathing and bronchoconstriction measured by ultrasound elastography using finite element image registration. Ultrasonics 75:174-184
Peng, Bo; Wang, Yuqi; Hall, Timothy J et al. (2017) A GPU-Accelerated 3-D Coupled Subsample Estimation Algorithm for Volumetric Breast Strain Elastography. IEEE Trans Ultrason Ferroelectr Freq Control 64:694-705
Babaniyi, Olalekan A; Oberai, Assad A; Barbone, Paul E (2017) Direct Error in Constitutive Equation Formulation for Plane stress Inverse Elasticity Problem. Comput Methods Appl Mech Eng 314:3-18
Wang, Yuqi; Nasief, Haidy G; Kohn, Sarah et al. (2017) Three-dimensional Ultrasound Elasticity Imaging on an Automated Breast Volume Scanning System. Ultrason Imaging 39:369-392
Liu, Tengxiao; Hall, Timothy J; Barbone, Paul E et al. (2017) Inferring spatial variations of microstructural properties from macroscopic mechanical response. Biomech Model Mechanobiol 16:479-496
Peng, Yiyan; Shkel, Yuri M; Hall, Timothy J (2016) A Tactile Sensor for Ultrasound Imaging Systems. IEEE Sens J 16:1044-1053

Showing the most recent 10 out of 25 publications