ULTRASONIC IMAGE ENHANCEMENT AND TISSUE CHARACTERIZATION USING SCALING CONCEPTS

这一探索性研究的具体目的是介绍一部小说 一种提高超声图像分辨率的方法，并同时检查 通过利用缩放进行组织定征的可行性 一般来说，超声-物质相互作用的特征， 特别的。拟议工作的主要目标之一是扩大 通过常规换能器获得的信号的带宽。的 工作的动机是带宽展宽技术， 在我们最近的一项语音增强工作中， 实验室这种方法是基于提取和建模 窄带信号的1/f/alpha噪声分量的下限定律， 反过来，使我们能够合成更高的频率尺度。这将创建 在更宽的频率范围内收集的数据的影响，预计将 提高超声医学图像的分辨率， 由于衰减而损失的原始传输信号的频率 组织中的机制。加工方案中的建模阶段 利用尺度间方差的几何结构 小波系数的级数。一个自然的双重用途， 分析步骤是调查该措施作为一种手段的有效性 用于组织表征。此外，所得到的宽带数据可以是 与其它信令处理算法结合使用， 分裂频谱处理进一步提高肿瘤图像质量 侦测

The specific aim of this exploratory investigation is to introduce a novel approach to enhance ultrasonic image resolution and, in parallel, examine the feasibility of tissue characterization by exploiting the scaling signature of ultrasound-matter interactions in general, and tissue in particular. One of the key objectives of the proposed work is to broaden the bandwidth of the signal obtained via conventional transducers. The work is motivated by a bandwidth broadening technique which was successfully implemented in a recent speech enhancement work in our laboratory. This approach is based on the extraction and modeling of the lower-law of 1/f/alpha noise component of the narrow-band signal which, in turn, allows us to synthesize higher frequency scales. This creates the effect of data collected over wider band of frequencies and is expected to enhance the resolution of ultrasonic medical images by recovering the frequencies of the original transmitted signal lost due to the attenuation mechanisms in the tissue. The modeling stage in the processing scheme exploits the geometric structure of the scale-to-scale variance progression of the wavelet coefficients. A natural dual use for this analysis step is to investigate the validity of this measure as a means for tissue characterization. Moreover, the resulting wide-band data can be used in conjunction with other signaling processing algorithms such as Split Spectrum Processing to further improve image quality for tumor detection.