Palpation Imaging

触诊成像

• 批准号: 6872957
• 负责人: TIMOTHY J HALL
• 金额: $ 29.03万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6872957
• 关键词: bioimaging /biomedical imaging; bioinformatics; biomechanics; biosensor device; body composition; breast neoplasm /cancer diagnosis; cell morphology; clinical research; computational biology; computer program /software; data collection methodology /evaluation; diagnosis design /evaluation; diagnosis quality /standard; elasticity; human subject; image enhancement; image processing; mammography; neoplasm /cancer classification /staging; patient oriented research; phantom model; statistics /biometry; time resolved data; women' s health

DESCRIPTION (provided by applicant): Breast cancer is the second-leading cause of cancer deaths in women. Over 200,000 new cases of invasive breast cancer are expected in the USA this year alone. It is anticipated that nearly 40,000 women in the USA would die of breast cancer in 2002. Breast self examination and clinical breast examination (palpation) are the most frequently used diagnostic tools for detecting breast abnormalities, and most breast abnormalities are detected with palpation. The overall goal of this project is the development of tools that will improve the classification of breast lesions, particularly in mammographically-dense breasts using elasticity imaging. The basis of the proposed work is our successful real-time implementation of elasticity imaging on a commercially available ultrasound scanner and initial in vivo results on patients with breast disease. Measurements of the bulk elastic properties of in vitro tissues showed that most breast tissues have non-linear stress-strain relationships, but the non-linearity was highest in cancers. We have observed relative non-linearity in mechanical strain among in vivo breast tissue in our preliminary studies. To enhance and extend that work, we propose the following specific aims: 1) significantly improve the quality of strain image sequences through improved motion tracking and error detection and correction; 2) improve the data acquisition and computational capacity and flexibility of the clinical system by porting the application to a new platform (the Siemens Antares); 3) interface a pressure sensor array to the clinical sonography system to provide data acquisition feedback and encode and display the nonlinearity in the stress-strain relationship of tissues; 4) test these methods with simulated data and experiments with phantoms and human subjects; 5) develop tools to teach clinicians the standard measurement techniques for estimating bulk material properties, such as Young's modulus, how to adapt those techniques to scanning the human body. The result of this effort will be a clinically useful tool for examining the mechanical response of human tissues, and a set of training tools to allow the skilled ultrasound clinician to efficiently learn to use these new tools.

描述（由申请人提供）： 乳腺癌是女性癌症死亡的第二个主要原因。仅今年美国，预计将在美国预计将有超过200,000例新的侵入性乳腺癌病例。预计美国近40,000名女性将在2002年死于乳腺癌。乳房自我检查和临床乳房检查（PALPATION）是最常用的诊断工具，用于检测乳房异常，并且通过触诊检测到大多数乳房异常。该项目的总体目标是开发将改善乳房病变分类的工具，尤其是使用弹性成像在乳房X线X射线密集的乳房中。拟议的工作的基础是我们成功实现了在市售超声扫描仪上弹性成像的实时实施，并对乳腺病患者进行了初步体内结果。体外组织的大量弹性特性的测量表明，大多数乳腺组织具有非线性应力 - 应变关系，但非线性性在癌症中最高。在我们的初步研究中，我们已经观察到体内乳腺组织中机械应变的相对非线性。为了增强和扩展这项工作，我们提出以下特定目的：1）通过改善运动跟踪和误差检测和校正来显着提高应变图像序列的质量； 2）通过将应用程序移植到新平台（西门子的安塔尔人）来提高临床系统的数据获取和计算能力和灵活性； 3）接口与临床超声系统的压力传感器阵列，以提供数据采集反馈并编码并显示组织应力 - 应变关系中的非线性； 4）通过模拟数据和幻象和人类受试者的模拟数据和实验测试这些方法； 5）开发工具来教临床医生估算批准批量材料特性的标准测量技术，例如杨氏模量，如何使这些技术适应人体扫描人体。这项工作的结果将是检查人体组织机械反应的临床上有用的工具，以及一组训练工具，可允许熟练的超声临床医生有效学习使用这些新工具。