IMPROVED TUMOR DETECTION BY ULTRASONIC SPECKLE REDUCTION

通过超声波散斑改进改进肿瘤检测

• 批准号: 3176138
• 负责人: FRANK GRAHAM SOMMER
• 金额: $ 15.76万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-09-30 至 1986-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3176138
• 关键词: clinical biomedical equipment; image processing; liver neoplasms; neoplasm /cancer radiodiagnosis; ultrasonography

Ultrasonic speckle is the most important source of noise degrading clinical ultrasound scan images. The detectability of tumors in ultrasonic scan images, particularly those of relatively low contrast in the surrounding normal tissues, may be greatly decreased due to speckle. The overall aim of the project proposal is the evaluation of the improvement in tumor detectability which may be achieved in diagnostic ultrasound through the application of techniques for the reduction of speckle in ultrasonic images and definition of those forms of waveform processing which will lead to optimum improvement in image quality and tumor detectability. A versatile laboratory system for the acquisition of ultrasonic waveform data from phantoms and human tissues in vitro will be constructed. A variety of ultrasonic phantoms containing low-contrast, hyperechoic and hypoechoic targets, similar to low-contrast tumors in the human body, will be scanned using this dedicated laboratory system. Fresh pathologic liver specimens involved with metastatic tumor, and some normal liver specimens will be scanned with the laboratory system as well. A variety of schemes for ultrasonic speckle reduction will be employed: the basic principle will be to use techniques which employ either spatial or frequency diversity techniques to produce differing (possibly uncorrelated) images which may then be averaged to create ultrasonic images with reduced speckle. Spatial diversity will be achieved by both linear translation of transducers perpendicular to scan planes and through transducer angulation techniques. Frequency diversity will be attained by both altering the number of cycles and center frequencies of ultrasound exciting the ultrasound transducer, and via digital filtering of scan data obtained employing broad-band transducers. The relationship between frequency parameters (center frequency, bandwidth) and transducer translation/rotation and speckle decorrelation will be determined experimentally and compared to prior theoretical predictions (of Gehlbach). The effects of the speckle reduction techniques will be evaluated via receiver operating characteristic (ROC) analysis of observers' ability to detect low-contrast targets and tumors in images created via a variety of processing schemes. The framework of knowledge created in these studies will indicate possible hardware and waveform processing improvements in clinical scanners, which will give improved and earlier detection of tumors in parenchymal organs of the body.

超声波斑点是最重要的噪声降解临床来源 超声扫描图像。 超声扫描中肿瘤的可检测性 图像，尤其是周围对比度相对较低的图像 正常组织可能由于斑点而大大减少。 总体目标 项目建议的评估是对肿瘤的改善 在诊断超声波中可以实现的可检测性 在超声图像中的减少斑点技术的应用 以及这些形式的波形处理，这将导致 图像质量和肿瘤可检测性的最佳改进。 用于获取超声波波形的多功能实验室系统 将构建来自体外幻像和人体组织的数据。 一个 多种超声幻象，含有低对比度，高回声和 与人体中低对比度肿瘤相似的次要靶标将 使用此专用实验室系统进行扫描。 新鲜的病理性肝 与转移性肿瘤有关的标本和一些正常的肝标本 还将通过实验室系统进行扫描。 各种计划 对于超声波斑块的减少将被采用：基本原理 将使用采用空间或频率的技术 产生不同（可能不相关的）图像的多样性技术 然后可以平均以减少的超声图像创建超声图像 斑点。 空间多样性将通过两种线性翻译来实现 垂直于扫描平面并通过换能器角度的传感器 技术。 通过改变频率多样性 超声的周期和中心频率令人兴奋 超声传感器，以及通过数字过滤获得的扫描数据 采用宽带传感器。 频率之间的关系 参数（中心频率，带宽）和传感器 将确定翻译/旋转和斑点去相关 实验并与先前的理论预测（GEHLBACH）进行了比较。 斑点还原技术的影响将通过 接收器操作特征（ROC）分析观察者的能力 检测通过多种图像中的低对比度靶标和肿瘤 处理方案。 这些研究中创建的知识框架将表明可能 临床扫描仪的硬件和波形处理改进，这 将改善并更早地检测到实质器官中的肿瘤 身体。