Elastography-based Analytics for Benign and Malignant Breast Disease

项目摘要 乳腺癌是一个重大的医疗保健和社会经济问题。主要目标是 开发一种定量的、非侵入性的技术，能够准确地描述乳腺肿瘤的特征 通过合并局部剪切变形。这项技术可以集成到3D自动化中 乳腺超声(ABUS)扫描仪或传统的2D超声扫描仪，其方式可以 在诊断过程中为病变的鉴别和处理提供临床相关信息， 治疗计划和治疗后评估。具体研究目标是：(1)完善 通过开发一种新的基于物理的去噪算法作为后处理来进行位移测量 处理工具，(2)研究新的度量标准，以准确量化局部超声应变 弹性成像-导出的剪切变形和(3)确定弹性成像的改进的有用性-- 基于分析。这方面的建议也是一个完整的计划，以指导和鼓励 本科生将通过Impact在定量生物医学工程领域寻求职业生涯 癌症成像研究。 为了建立可行性，计算机模拟超声弹性成像数据和活体2D和3D 涉及活检证实的乳腺病变的超声数据将被用来验证我们的方法。如果 可行性已确定，并计划进行后续项目以检验该技术的临床应用。 在一项前瞻性临床研究中，将所有开发的技术集成到ABUS扫描仪中。这 面积提案也可能通过提供资源对密歇根理工大学产生影响 培养本科生，建设全国公认的研究和教育机构 人类医疗保健计划。

Project Summary Breast cancer is a significant healthcare and social-economical problem. The primary objective is to develop a quantitative, noninvasive technique that enables accurate characterization of breast tumors by incorporation of local shear deformation. The technique could be integrated into 3D automated breast ultrasound (ABUS) scanner or conventional 2D ultrasound scanners, in a way which could provide clinically relevant information for lesion differentiation and management during diagnosis, treatment planning, and post-treatment evaluation. Specific research aims are: (1) improve displacement measurements by developing a novel physics-based denoising algorithm as a post- processing tool, (2) investigate novel metrics to accurately quantify local ultrasound strain elastography-derived shear deformation and (3) determine improved usefulness of elastography- based analytics. An integral plan of this AREA proposal is also to mentor and encourage undergraduate students to pursue careers in quantitative biomedical engineering through impactful cancer imaging research. To establish the feasibility, computer-simulated ultrasound elastography data and in vivo 2D and 3D ultrasound data involving biopsy-confirmed breast lesions will be used to validate our approach. If feasibility is established, a follow-up project is planned to examine the clinical utility of this technique in a prospective clinical study by integrating all developed techniques into an ABUS scanner. This AREA proposal may also make impacts on Michigan Technological University by providing resources for training undergraduate students and building a nationally recognized research and educational program in human healthcare.