SIGNAL PROCESSING FOR ENHANCED TISSUE IMAGING

该项目的主要目标是根据组织的特征， 来自受声波照射的组织区域的超声回波。的区域 组织将根据一组 将根据拟议的 调查事务所这项研究的前提是， 来自肝脏以及乳房组织的超声回波可以使用 K分布。K分布的参数似乎是 关于组织性质的信息，正常或异常，或良性或 恶性的此外，回波的非瑞利性质可以是 扩展到包括相位统计及其 与病变组织和正常组织的关系。这些非瑞利现象 在包络和相位信息方面， 组织的B扫描图像，将被广泛用于实现 组织定征的主要目标。 我们的技术的有效性将使用标准ROC进行研究 分析。根据大量的病人和多次扫描 在患者中，将有足够的数据集可供使用， 对本研究中开发的方法进行明确的评价。 这项研究将使用 来自托马斯杰斐逊大学的临床核心小组。的技术 因此，通过这项研究开发的将用于提出 筛查癌症（乳腺癌和肝癌）患者的战略， 检查超声波B超希望这一成果 研究将是这样的，低成本的简单的方法可以开发 对于使用超声波筛查患者的癌症， 辐射

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.