The objectives of the proposed research are to design and construct a real-time Remote Palpation imaging system, and to clinically evaluate this system in the context of breast imaging. Remote Palpation is a new imaging method that uses acoustic radiation force to characterize variations in tissue stiffness. In this method, acoustic radiation force is applied to small volumes of tissue (approximately 2 mm3), and the resulting displacement patterns are imaged using correlation based techniques. The tissue displacements are inversely proportional to the stiffness of the tissue and thus a stiffer region of tissue exhibits smaller displacements than a more compliant region. Remote Palpation is performed using a single transducer on a modified diagnostic ultrasound scanner to both generate the high intensity focused acoustic 'pushing' beams, which create the radiation force, and to track the resulting tissue displacements. We hypothesize that Remote Palpation will provide high contrast, high resolution images of relative tissue stiffness. Possible clinical applications for Remote Palpation include: identifying and differentiating malignant lesions in the breast, liver, kidney, thyroid and prostate; and identifying and characterizing atherosclerosis. The development efforts proposed herein are focused on the breast. We hypothesize that Remote Palpation images will improve clinicians' abilities to non-invasively differentiate benign from malignant breast lesions, thus decreasing the number of biopsies performed on benign breast lesions. Remote Palpation is an entirely new imaging modality, and thus we propose to address theoretical issues (i.e. fundamental physics, signal processing, image formation, thermal modeling), practical issues (i.e. real-time implementation), and to perform clinical studies to evaluate the utility of the method. The successful completion of this project will result in a new imaging modality capable of providing information about local variations in tissue stiffness.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002132-04
Application #
6789356
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Wolbarst, Anthony B
Project Start
2001-09-10
Project End
2006-08-31
Budget Start
2004-09-01
Budget End
2006-08-31
Support Year
4
Fiscal Year
2004
Total Cost
$311,482
Indirect Cost
Name
Duke University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Lipman, Samantha L; Rouze, Ned C; Palmeri, Mark L et al. (2018) Impact of Acoustic Radiation Force Excitation Geometry on Shear Wave Dispersion and Attenuation Estimates. Ultrasound Med Biol 44:897-908
Deng, Yufeng; Palmeri, Mark L; Rouze, Ned C et al. (2018) Evaluating the Benefit of Elevated Acoustic Output in Harmonic Motion Estimation in Ultrasonic Shear Wave Elasticity Imaging. Ultrasound Med Biol 44:303-310
Rouze, Ned C; Deng, Yufeng; Trutna, Courtney A et al. (2018) Characterization of Viscoelastic Materials Using Group Shear Wave Speeds. IEEE Trans Ultrason Ferroelectr Freq Control 65:780-794
Rouze, Ned C; Deng, Yufeng; Palmeri, Mark L et al. (2017) Accounting for the Spatial Observation Window in the 2-D Fourier Transform Analysis of Shear Wave Attenuation. Ultrasound Med Biol 43:2500-2506
Deng, Yufeng; Rouze, Ned C; Palmeri, Mark L et al. (2017) Ultrasonic Shear Wave Elasticity Imaging Sequencing and Data Processing Using a Verasonics Research Scanner. IEEE Trans Ultrason Ferroelectr Freq Control 64:164-176
Lipman, Samantha L; Rouze, Ned C; Palmeri, Mark L et al. (2016) Evaluating the Improvement in Shear Wave Speed Image Quality Using Multidimensional Directional Filters in the Presence of Reflection Artifacts. IEEE Trans Ultrason Ferroelectr Freq Control 63:1049-1063
Deng, Yufeng; Rouze, Ned C; Palmeri, Mark L et al. (2016) On System-Dependent Sources of Uncertainty and Bias in Ultrasonic Quantitative Shear-Wave Imaging. IEEE Trans Ultrason Ferroelectr Freq Control 63:381-93
Deng, Yufeng; Palmeri, Mark L; Rouze, Ned C et al. (2015) Analyzing the Impact of Increasing Mechanical Index and Energy Deposition on Shear Wave Speed Reconstruction in Human Liver. Ultrasound Med Biol 41:1948-57
Rosenzweig, Stephen; Palmeri, Mark; Nightingale, Kathryn (2015) Analysis of rapid multi-focal-zone ARFI imaging. IEEE Trans Ultrason Ferroelectr Freq Control 62:280-9
Lee, Seung Yun; Cardones, Adela R; Doherty, Joshua et al. (2015) Preliminary Results on the Feasibility of Using ARFI/SWEI to Assess Cutaneous Sclerotic Diseases. Ultrasound Med Biol 41:2806-19

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