Elastography provides new opportunities in diagnostic imaging for the detection and characterization of disease, particularly cancer, by exploiting the changes in tissue elasticity that occur in nearly all cancerous lesions. The overall goal of this program is to explore methods to generate, interpret, and evaluate elastograms. The program consists of three projects and three cores. Project 1 will be directed by Dr. Bertrand from the University of Montreal. The project aims to develop a computer model of two- and three- dimensional tissue motion to describe the elastographic image formation process. The principal goal is to understand the response of elastic media to an applied stress, and thereby guide data acquisition to obtain accurate strain estimates and minimize artifact-producing distortions. Project 2 will be directed by Dr. Ophir from the University of Texas. The project aims to search for optimal signal processing techniques for elastographic image formation. Image quality factors that determine sensitivity, dynamic range, resolution, contrast, and noise will be investigated in terms of the compromises necessary to maximize task performance. An analysis of image artifacts and methods to minimize or eliminate them will also be investigated. Finally, in vitro studies to measure the elastic properties of normal and pathological breast and prostate tissues will be conducted through a subcontract to Dr. Krouskop at Baylor College of Medicine. Project 3 will be directed by Dr. Insana from the University of Kansas. The project aims to develop objective criteria for evaluating elastographic image quality in terms of low-contrast detectability. A statistical analysis of elastograms will be conducted, and improvements provided by a more complete study of tissue motion (project 1) and better image formation strategies (project 2) will be evaluated by estimating visual detection efficiencies. Core 9001, directed by Dr. Hall from the University of Kansas, will establish and maintain essential communication for data flow between laboratories. Core 9002, also directed by Dr. Hall, will develop and construct sonographic and elastographic phantoms necessary in all three projects. Core 9003, directed by Dr. Ophir, will provide elastographic data and images from phantoms and tissues using the specialized equipment unique to the UT laboratories and clinics. The overall program focus in on the detection and characterization of breast and prostate cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA064597-02
Application #
2107179
Study Section
Special Emphasis Panel (SRC (35))
Project Start
1994-09-30
Project End
1999-07-31
Budget Start
1995-08-01
Budget End
1996-07-31
Support Year
2
Fiscal Year
1995
Total Cost
Indirect Cost
Name
University of Texas Health Science Center Houston
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
City
Houston
State
TX
Country
United States
Zip Code
77225
Thittai, Arun K; Yamal, Jose-Miguel; Ophir, Jonathan (2013) Small breast lesion classification performance using the normalized axial-shear strain area feature. Ultrasound Med Biol 39:543-8
Thittai, Arun K; Yamal, Jose-Miguel; Mobbs, Louise M et al. (2011) Axial-shear strain elastography for breast lesion classification: further results from in vivo data. Ultrasound Med Biol 37:189-97
Thittai, Arun K; Galaz, Belfor; Ophir, Jonathan (2011) Visualization of HIFU-induced lesion boundaries by axial-shear strain elastography: a feasibility study. Ultrasound Med Biol 37:426-33
Thittai, Arun K; Galaz, Belfor; Ophir, Jonathan (2010) Axial-shear strain distributions in an elliptical inclusion model: experimental validation and in vivo examples with implications to breast tumor classification. Ultrasound Med Biol 36:814-20
Patil, Abhay V; Krouskop, Thomas A; Ophir, Jonathan et al. (2008) On the differences between two-dimensional and three-dimensional simulations for assessing elastographic image quality: a simulation study. Ultrasound Med Biol 34:1129-38
Garra, Brian Stephen (2007) Imaging and estimation of tissue elasticity by ultrasound. Ultrasound Q 23:255-68
Doyley, Marvin M; Srinivasan, Seshadri; Dimidenko, Eugene et al. (2006) Enhancing the performance of model-based elastography by incorporating additional a priori information in the modulus image reconstruction process. Phys Med Biol 51:95-112
Hoyt, Kenneth; Forsberg, Flemming; Ophir, Jonathan (2006) Comparison of shift estimation strategies in spectral elastography. Ultrasonics 44:99-108
Hoyt, Kenneth; Forsberg, Flemming; Ophir, Jonathan (2006) Analysis of a hybrid spectral strain estimation technique in elastography. Phys Med Biol 51:197-209
Chandrasekhar, R; Ophir, J; Krouskop, T et al. (2006) Elastographic image quality vs. tissue motion in vivo. Ultrasound Med Biol 32:847-55

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