The primary goal of the project is to characterize the tissue based on the ultrasonic echo from the insonated tissue regions. The regions of the tissue will be classified as normal and abnormal based on a set of criteria that will be developed on the basis of the proposed investigations. The proposed research is based on the premise that the ultrasound echo from liver as well as breast tissue may be modeled using the K-distribution. The parameter of the K-distribution appears to hold information on the nature of the tissue, normal or abnormal, or benign or malignant. Further more, the non-Rayleigh nature of the echo could be extended to include the effect of the phase statistics and its relationship to the diseased and normal tissue. These non-Rayleigh aspects of the back-scattered echo, in terms of the envelope and phase information of the B scan image of the tissue, will be extensively used to achieve the major goal of tissue characterization. The efficacy of our techniques will be studied using the standard ROC analyses. Based on the large number of patients as well as multiple scans of the patients, there will be sufficient data sets available to make a definitive evaluation of the methodologies developed in this research. The research will be undertaken using the patient data supplied by the clinical core group from Thomas Jefferson University. The techniques developed through this research will therefore be used to propose strategies for the screening of patients for cancer (breast and liver) by examining the ultrasound B-scans. It is hoped that outcomes of this research will be such that a low cost simpler method could be developed for the screening of patients for cancer using ultrasound, a non-ionizing radiation.
| Wheatley, Margaret A; Forsberg, Flemming; Oum, Kelleny et al. (2006) Comparison of in vitro and in vivo acoustic response of a novel 50:50 PLGA contrast agent. Ultrasonics 44:360-7 |
| Wheatley, Margaret A; Forsberg, Flemming; Dube, Neal et al. (2006) Surfactant-stabilized contrast agent on the nanoscale for diagnostic ultrasound imaging. Ultrasound Med Biol 32:83-93 |
| Mogatadakala, Kishore V; Donohue, Kevin D; Piccoli, Catherine W et al. (2006) Detection of breast lesion regions in ultrasound images using wavelets and order statistics. Med Phys 33:840-9 |
| Shankar, P M; Piccoli, C W; Reid, J M et al. (2005) Application of the compound probability density function for characterization of breast masses in ultrasound B scans. Phys Med Biol 50:2241-8 |
| Forsberg, Flemming; Lathia, Justin D; Merton, Daniel A et al. (2004) Effect of shell type on the in vivo backscatter from polymer-encapsulated microbubbles. Ultrasound Med Biol 30:1281-7 |
| El-Sherif, Dalia M; Lathia, Justin D; Le, Ngocyen T et al. (2004) Ultrasound degradation of novel polymer contrast agents. J Biomed Mater Res A 68:71-8 |
| Alacam, Burak; Yazici, Birsen; Bilgutay, Nihat et al. (2004) Breast tissue characterization using FARMA modeling of ultrasonic RF echo. Ultrasound Med Biol 30:1397-407 |
| Lathia, Justin D; Leodore, Lauren; Wheatley, Margaret A (2004) Polymeric contrast agent with targeting potential. Ultrasonics 42:763-8 |
| Oeffinger, Brian E; Wheatley, Margaret A (2004) Development and characterization of a nano-scale contrast agent. Ultrasonics 42:343-7 |
| Shankar, P Mohana; Dumane, Vishruta A; Piccoli, Catherine W et al. (2003) Computer-aided classification of breast masses in ultrasonic B-scans using a multiparameter approach. IEEE Trans Ultrason Ferroelectr Freq Control 50:1002-9 |
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