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.

项目总结