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Elastography-based Analytics for Benign and Malignant Breast Disease

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
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-01 至 2023-07-31

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中文摘要
翻译
项目摘要 乳腺癌是一个重大的卫生保健和社会经济问题。主要目的是 开发一种定量的、非侵入性的技术,能够准确地表征乳腺肿瘤 通过结合局部剪切变形。该技术可以集成到3D自动化 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鉴别和管理提供临床相关信息, 治疗计划和治疗后评估。具体的研究目标是:(1)提高 通过开发一种新的基于物理的去噪算法, 处理工具,(2)研究新的指标,以准确地量化局部超声应变 弹性成像衍生的剪切变形和(3)确定弹性成像的改进的有用性- 基于分析。该区域提案的一个整体计划也是指导和鼓励 本科生通过有影响力的量化生物医学工程追求职业生涯 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体内二维和三维 涉及活检证实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,计划进行后续项目,以检查该技术的临床实用性 通过将所有开发的技术集成到ABUS扫描仪中进行前瞻性临床研究。这 AREA提案也可能通过提供资源对密歇根理工大学产生影响 培养本科生和建立一个国家认可的研究和教育 人类健康计划。
英文摘要
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.
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Personalized Management of Intracranial Aneurysms Using Computer-aided Analytics
Virtual Breast Project: Improving Noninvasive Characterization of Tumors
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