Elastography-based Analytics for Benign and Malignant Breast Disease

基于弹性成像的良性和恶性乳腺疾病分析

• 批准号: 9516398
• 负责人: Jingfeng Jiang
• 金额: $ 45.02万
• 依托单位: MICHIGAN TECHNOLOGICAL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9516398
• 关键词: 3D ultrasound; Adopted; Aftercare; Algorithms; Benign; Biomedical Engineering; Biopsy; Breast; Breast Diseases; Breast biopsy; Clinical; Clinical Research; Complex; Computer software; Computers; Connective Tissue; Data; Development; Diagnosis; Environment; Equipment; Evaluation; Excision; Feasibility Studies; Future; Goals; Health Care Costs; Healthcare; Heterogeneity; Human; Image; Knowledge Discovery; Learning; Lesion; Malignant - descriptor; Malignant Neoplasms; Mammary Neoplasms; Mammary Ultrasonography; Mathematics; Measurement; Measures; Mechanics; Medical; Medicine; Mentors; Methods; Michigan; Motion; Noise; Operative Surgical Procedures; Outcome; Pathologic; Pathology; Patients; Physics; Pilot Projects; Positioning Attribute; Process; Psyche structure; Recurrence; Research; Research Training; Resources; Safety; Scanning; Students; Techniques; Technology; Time; Tissues; Training; Ultrasonics; Ultrasonography; United States; Universities; Woman; base; breast imaging; breast lesion; cancer imaging; career; clinically relevant; cost effectiveness; design; elastography; follow-up; human subject; imaging modality; improved; in vivo; indexing; malignant breast neoplasm; mechanical load; novel; programs; prospective; public health relevance; simulation; social; soft tissue; therapeutic evaluation; tool; treatment planning; undergraduate research; undergraduate student

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.

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 开发一种定量的无创技术，可以准确表征乳腺肿瘤 通过掺入局部剪切变形。该技术可以集成到3D自动化中 乳房超声（ABUS）扫描仪或常规2D超声扫描仪，以某种方式可以 在诊断过程中提供有关病变分化和管理的临床相关信息， 治疗计划和治疗后评估。具体研究目的是：（1）改进 通过开发一种基于物理学的新型deno算法作为后的替代测量 加工工具，（2）研究新型指标以准确量化局部超声菌株 弹性衍生的剪切变形和（3）确定弹性学的有用性提高 - 基于分析。该领域建议的不可或缺的计划也是指导和鼓励 本科生通过有影响力的生物医学工程从事职业 癌症成像研究。 为了建立可行性，计算机模拟的超声弹力图数据以及体内2D和3D 涉及活检确认的乳腺病变的超声数据将用于验证我们的方法。如果 建立了可行性，计划了一个后续项目来检查此技术的临床实用性 在一项前瞻性临床研究中，通过将所有开发技术整合到ABUS扫描仪中。这 区域建议还可以通过提供资源对密歇根技术大学产生影响 用于培训本科生并建立全国认可的研究和教育 人类医疗保健计划。