Changes in soft tissue elasticity are usually related to pathological processes. Because of this, palpation is still widely used for diagnosis. Efficacy, however, is limited to abnormalities located relatively close to the skin surface. The fundamental goal of elasticity imaging is to develop surrogate, remote palpation. Using sensitive ultrasound speckle tracking procedures, controlled surface deformations, and quantitative reconstruction algorithms developed over the first funding period, elasticity imaging has emerged as a potentially new diagnostic modality providing information about the mechanical properties of internal organs. In particular, results of studies during the first funding period support the hypothesis that changes in kidney elasticity due to renal damage and concomitant scarring can be detected with elasticity imaging before problems are identified by traditional diagnostic techniques such as laboratory measurements of renal function. Based on these results, a research plan has been developed to address the important clinical problem of noninvasively detecting kidney transplant rejection. The proposed program includes fundamental studies of both optimal elasticity imaging methods and kidney elasticity. In addition, an elasticity imaging system appropriate for clinical studies will be designed and built to monitor the internal elastic properties of the transplanted kidney. This system will be tested on a group of human subjects with normally functioning renal allografts. Results from this group will be compared to elasticity images from a different group with abnormally functioning allografts. The overall program is designed to critically test the hypothesis that elasticity imaging can noninvasively detect fibrosis in a renal allograft well before functional measurements sense abnormalities.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK047324-06
Application #
6177006
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Scherbenske, M James
Project Start
1995-01-01
Project End
2002-05-31
Budget Start
2000-06-01
Budget End
2001-05-31
Support Year
6
Fiscal Year
2000
Total Cost
$308,480
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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Weitzel, William F; Kim, Kang; Rubin, Jonathan M et al. (2004) Feasibility of applying ultrasound strain imaging to detect renal transplant chronic allograft nephropathy. Kidney Int 65:733-6
O'Donnell, Matthew; Skovoroda, Andrei R (2004) Prospects for elasticity reconstruction in the heart. IEEE Trans Ultrason Ferroelectr Freq Control 51:322-8
Chen, Xunchang; Zohdy, Marwa J; Emelianov, Stanislav Y et al. (2004) Lateral speckle tracking using synthetic lateral phase. IEEE Trans Ultrason Ferroelectr Freq Control 51:540-50
Erkamp, Ramon Q; Skovoroda, Andrei R; Emelianov, Stanislav Y et al. (2004) Measuring the nonlinear elastic properties of tissue-like phantoms. IEEE Trans Ultrason Ferroelectr Freq Control 51:410-9
Erkamp, Ramon Q; Emelianov, Stanislav Y; Skovoroda, Andrei R et al. (2004) Nonlinear elasticity imaging: theory and phantom study. IEEE Trans Ultrason Ferroelectr Freq Control 51:532-9
Rubin, Jonathan M; Aglyamov, Salavat R; Wakefield, Thomas W et al. (2003) Clinical application of sonographic elasticity imaging for aging of deep venous thrombosis: preliminary findings. J Ultrasound Med 22:443-8
Emelianov, S Y; Chen, X; O'Donnell, M et al. (2002) Triplex ultrasound: elasticity imaging to age deep venous thrombosis. Ultrasound Med Biol 28:757-67
Hollman, Kyle W; Emelianov, Stanislav Y; Neiss, Jason H et al. (2002) Strain imaging of corneal tissue with an ultrasound elasticity microscope. Cornea 21:68-73
Kaluzynski, K; Chen, X; Emelianov, S Y et al. (2001) Strain rate imaging using two-dimensional speckle tracking. IEEE Trans Ultrason Ferroelectr Freq Control 48:1111-23

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