The long-term goal of the proposed partnership is to develop, unify, refine and implement a new approach to quantitative ultrasound (QUS) imaging of biological tissues and mammary tumors by the quantification of tissue microstructure. In lay terms, if the research is successful, many breast abnormalities and lesions can be diagnosed without the need for a biopsy. The overall hypothesis of our partnership is that a set of QUS parameters can significantly improve breast lesion differentiation/classification. The primary QUS parameters to be exploited include attenuation, scatterer size, scatterer number density, and acoustic concentration (scatterer number density times their impedance change). Our goal in the first 5 years of this project is to lay the foundation for a new (possibly revolutionary but definitely evolutionary) diagnostic imaging capability through development, testing, and verification with simulations, phantoms, and in vitro and in vivo animal model experiments, as well as preliminary human subjecting testing. In the second 5 years we will extend the analysis beyond common breast lesions, begin Phase II clinical trials and work towards the creation of automated tools to assist in the diagnosis of breast abnormalities. The partnership is between engineers, acoustic physicists, statisticians and veterinary pathologists at UIUC and physicists, engineers, pathologists and radiologists at UW. The PI is William D. O'Brien, Jr. (UIUC), and functioning as the co-Pi is Timothy J. Hall (UW). Use of QUS imaging is medically significant because it offers a potentially real-time and noninvasive means of differentiation/classification tumor types and tracking their response to therapy. To this end, 5 specific aims are proposed, viz., 1) unify QUS algorithms with simulations, phantoms and animal tumor models in vivo, 2) associate acoustic microstructural measurements with anatomical scattering sources, 3) monitor the changes in QUS parameters with tumor growth in in vivo animal models, 4) compare tumors in human subjects with those in animal models, and 5) develop a major outreach activity.
| Paige, Jeremy S; Bernstein, Gregory S; Heba, Elhamy et al. (2017) A Pilot Comparative Study of Quantitative Ultrasound, Conventional Ultrasound, and MRI for Predicting Histology-Determined Steatosis Grade in Adult Nonalcoholic Fatty Liver Disease. AJR Am J Roentgenol 208:W168-W177 |
| Oelze, Michael L; Mamou, Jonathan (2016) Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 63:336-51 |
| Han, Aiguo; O'Brien, William D (2016) Structure Function Estimated From Histological Tissue Sections. IEEE Trans Ultrason Ferroelectr Freq Control 63:1296-305 |
| Rosado-Mendez, Ivan M; Drehfal, Lindsey C; Zagzebski, James A et al. (2016) Analysis of Coherent and Diffuse Scattering Using a Reference Phantom. IEEE Trans Ultrason Ferroelectr Freq Control 63:1306-20 |
| Wirtzfeld, Lauren A; Ghoshal, Goutam; Rosado-Mendez, Ivan M et al. (2015) Quantitative Ultrasound Comparison of MAT and 4T1 Mammary Tumors in Mice and Rats Across Multiple Imaging Systems. J Ultrasound Med 34:1373-83 |
| Han, Aiguo; O'Brien Jr, William (2015) Structure function for high-concentration biophantoms of polydisperse scatterer sizes. IEEE Trans Ultrason Ferroelectr Freq Control 62:303-18 |
| Nordberg, Eric P; Hall, Timothy J (2015) Effective scatterer diameter estimates for broad scatterer size distributions. Ultrason Imaging 37:3-21 |
| Nasief, Haidy Gerges; Rosado-Mendez, Ivan M; Zagzebski, James A et al. (2015) Acoustic Properties of Breast Fat. J Ultrasound Med 34:2007-16 |
| Han, Aiguo; Abuhabsah, Rami; Miller, Rita J et al. (2013) The measurement of ultrasound backscattering from cell pellet biophantoms and tumors ex vivo. J Acoust Soc Am 134:686-93 |
| Wirtzfeld, Lauren A; Nam, Kibo; Labyed, Yassin et al. (2013) Techniques and evaluation from a cross-platform imaging comparison of quantitative ultrasound parameters in an in vivo rodent fibroadenoma model. IEEE Trans Ultrason Ferroelectr Freq Control 60:1386-400 |
Showing the most recent 10 out of 46 publications
