TISSUE CHARACTERIZATION VIA ULTRASONIC IMAGING

请求支持一个与资源有关的研究项目 由世界银行赞助的资源技术改进类别 研究部生物技术资源计划(BRP) 资源。我们的目标是推动量化技术的发展 超声成像使超声可以用于非侵入性 组织病理学鉴定。为此奠定基础 目标我们计划一种跨学科的方法，将基础研究与 物理学、工程学和医学随着技术的发展 生成组织属性的二维图像。具体来说，我们 打算在我们以前对超声波相互作用的研究的基础上 和组织通过研究各向异性的大小和特征 组织，2)使超声场的表示系统化， 通过确定以下时刻来减少描述该字段所需的数据 接收孔径上的能量空间分布，3)寻找 通过交互提高成像系统的测量能力， 线性和可变孔径换能器的自适应波束形成 数组，4)检验本征上的定量图像的假设 组织属性可以用反射的超声波产生，以及5) 构建数字化多处理机系统实现脉冲回波超声 衰减、相速和后向散射的估计 二维的。为了实现这些目标，我们将建立一个流程 计算机与超声波断层成像接口的环境 扫描仪、现有的数字超声心动图和阵列处理器。这 环境将用于模拟和实验研究 组织模型和组织样本。数字多处理机成像 该系统将在体外样本和通过体内动物进行评估 研究将在NHLBI的独立支持下进行 医学部心血管科。

Support is requested for a Resource-Related Research Project in the category of Resource Technology Improvement under the auspices of the Biotechnology Resource Program (BRP) of the Division of Research Resources. Our objective is to advance the technology of quantitative ultrasonic imaging so that ultrasound can be used for the non-invasive identification of tissue pathologies. To provide the foundation for this goal we plan an interdisciplinary approach which combines basic studies in physics, engineering and medicine with the development of techniques for generating two-dimensional image of tissue properties. Specifically we intend 1) to build on our previous studies of the interaction of ultrasound and tissue by investigating the magnitude and character of anisotropy in tissue, 2) to systematize the representation of the ultrasonic field and to reduce the data needed to describe that field by determining the moments of the spatial distribution of energy over the receiver aperture, 3) to seek improvement in measurement capability of imaging systems via interactive, adaptive beamforming for both linear and variable-aperture transducer arrays, 4) to test the hypothesis that quantitative images on intrinsic tissue properties can be produced with reflected ultrasound, and 5) to construct a digital multiprocessor system to perform pulse-echo ultrasonic estimation of attenuation, phase velocity and backscatter in two-dimensions. To carry out these aims we will establish a processing environment with a computer interfaced to an ultrasonic tomographic scanner, an existing digital echocardiograph, and an array processor. This environment will be used for both simulations and experimenal studies of tissue models and tissue samples. The digital multiprocessor imaging system will be evaluated on in vitro specimens and through in vivo animal studies to be carried out under independent support from NHLBI to the Cardiovascular Division of the Department of Medicine.