Palpation Imaging

触诊成像

• 批准号: 7362433
• 负责人: TIMOTHY J HALL
• 金额: $ 34.54万
• 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 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7362433
• 关键词: Algorithms; Biopsy; Breast; Breast Diseases; Breast Self-Examination; Cancer Etiology; Cessation of life; Classification; Clinical; Clinical Trials; Complex; Computer software; Condition; Data; Detection; Development; Devices; Diagnostic; Educational process of instructing; Elasticity; Elevation; Evaluation; Feedback; Generations; Goals; Human body; Image; Imaging Techniques; In Vitro; Institution; Invasive; Lead; Learning; Lesion; Malignant Neoplasms; Mammary Gland Parenchyma; Measurement; Mechanics; Memory; Methods; Monitor; Motion; Palpation; Pathology; Patients; Performance; Phase; Pliability; Process; Property; Protocols documentation; Qualifying; Rate; Relative (related person); Research; Research Personnel; Scanning; Simulate; Solid; Speed; Standards of Weights and Measures; Stress; Surface; System; Techniques; Technology; Terminology; Testing; Time; Tissue Sample; Tissues; Training; Ultrasonography; Vocabulary; Woman; Work; base; breast lesion; concept; data acquisition; experience; human subject; human tissue; improved; in vivo; malignant breast neoplasm; movie; pressure; programs; prototype; radiologist; research clinical testing; research study; response; sensor; simulation; size; tool; tool development

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大原因。仅今年一年，美国预计就会出现超过 20 万例浸润性乳腺癌新病例。预计2002年美国将有近40,000名妇女死于乳腺癌。乳房自检和临床乳房检查（触诊）是检测乳房异常最常用的诊断工具，大多数乳房异常是通过触诊发现的。该项目的总体目标是开发工具来改进乳腺病变的分类，特别是使用弹性成像的乳腺 X 线摄影致密乳腺。拟议工作的基础是我们在市售超声扫描仪上成功实时实施弹性成像以及乳腺疾病患者的初步体内结果。对体外组织的体积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，但非线性在癌症中最高。在我们的初步研究中，我们观察到体内乳腺组织机械应变的相对非线性。为了加强和扩展这项工作，我们提出以下具体目标：1）通过改进运动跟踪以及错误检测和纠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Antares），提高临床系统的数据采集和计算能力以及灵活性； 3) 将压力传感器阵列连接到临床超声检查系统，以提供数据采集反馈并编码和显示组织应力-应变关系的非线性； 4）用模拟数据和人体模型和人体实验来测试这些方法； 5) 开发工具来教授临床医生用于估计散装材料特性（例如杨氏模量）的标准测量技术，以及如何使这些技术适应人体扫描。这项努力的结果将是一个临床上有用的工具，用于检查人体组织的机械响应，以及一套培训工具，使熟练的超声临床医生能够有效地学习使用这些新工具。

项目成果

Can Hybrid Learning Theory Be Used to Teach Working Sonographers Breast Elastography?

混合学习理论可以用来教授工作超声医师乳房弹性成像吗？

• DOI: 10.1177/8756479309351575
• 发表时间: 2010
• 期刊: Journal of diagnostic medical sonography : JDMS
• 作者: Mitchell,Carol;Hall,TimothyJ;Baker,Sara;Burke,Megan;Knauf,Laura;Willey,Bridgett
• 通讯作者: Willey,Bridgett