Virtual Breast Project: Improving Noninvasive Characterization of Tumors

虚拟乳房项目：改善肿瘤的无创表征

基本信息

批准号：
8772457
负责人：
Jingfeng Jiang
金额：
$ 45.28万
依托单位：
MICHIGAN TECHNOLOGICAL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-12 至 2018-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8772457
关键词：
Acoustics Advanced Malignant Neoplasm Advocate Anatomy Award Benign Biochemical Biocompatible Materials Biological Biological Process Biology Biomechanics Breast Clinical Trials Collagen Fiber Complex Computer Simulation Computer software Computers Data Development Elasticity Environment Extracellular Matrix Female breast Funding Future Goals Image Imaging Techniques Internet Knowledge Life Ligaments Light Link Literature Mammary Gland Parenchyma Mammary Neoplasms Mammary gland Measurable Measurement Mechanics Michigan Modality Modeling Monitor Motion Normal tissue morphology North America Optics Outcomes Research Property Public Domains Research Research Infrastructure Research Methodology Resolution Resource Development Resources Scientist Simulate Societies Staging Statistical Mechanics Stimulus Structure System Testing Tissues Training Trust Tumor Tissue Ultrasonography United States National Institutes of Health Variant Work base bioimaging breast cancer diagnosis cancer imaging cancer therapy chemotherapy cost effective elastography expectation graduate student imaging modality improved in vivo innovation malignant breast neoplasm multi-scale modeling novel open source optical imaging programs public health relevance simulation soft tissue tumor undergraduate research undergraduate student virtual

项目摘要

DESCRIPTION (provided by applicant): Recent developments in elastography suggest it is possible to image linear and nonlinear elastic parameters of breast tissues as well as shear wave propagation velocity and strains, and these parameters might be useful in non-invasively differentiating benign tumors from breast cancers. However, some commercial elastographic systems have not lived up to their high expectations. Our objectives of this proposal are twofold: 1) to build a virtual breast ultrasound simulation platform to accelerate development of UEI systems; and 2) to investigate mechanistic links between tissue microstructure and corresponding macroscopic mechanical properties of the tissue by using this novel ultrasound simulation infrastructure. The immediate outcome of this research includes a virtual open source software infrastructure for multi-scale biomechanical modeling of female breasts and subsequent ultrasound simulations. In addition to exposing undergraduate students to advanced cancer imaging research, impacts of this research include: 1)improving our understanding of resolution and contrast limits of elastographic systems in a complex but controllable virtual environment; and 2)enhancing our capability to infer micro-structural changes of ECM under image guidance. The latter will open new avenues for breast cancer diagnosis and therapy. Preliminary data demonstrate our research methodology is feasible. This AREA award will provide the Michigan Tech team with resources to train undergraduate and graduate students, obtain data for future NIH funding, and build a sustainable undergraduate research program in breast cancer imaging.

描述（由申请人提供）：弹性成像的最新发展表明可以对乳腺组织的线性和非线性弹性参数以及剪切波传播速度和应变进行成像，并且这些参数可能有助于非侵入性地区分乳腺良性肿瘤癌症。然而，一些商业弹性成像系统并没有达到他们的高期望。我们这个提案的目标有两个：1）建立虚拟乳腺超声模拟平台，加速UEI系统的开发； 2）通过使用这种新颖的超声模拟基础设施来研究组织微观结构与组织相应的宏观机械特性之间的机械联系。这项研究的直接成果包括用于女性乳房多尺度生物力学建模和后续超声模拟的虚拟开源软件基础设施。除了让本科生接触先进的癌症成像研究之外，这项研究的影响还包括：1）提高我们对复杂但可控的虚拟环境中弹性成像系统的分辨率和对比度限制的理解； 2）增强我们在图像引导下推断ECM微观结构变化的能力。后者将为乳腺癌诊断和治疗开辟新途径。初步数据表明我们的研究方法是可行的。该 AREA 奖项将为密歇根理工大学团队提供资源来培训本科生和研究生，获取未来 NIH 资助的数据，并建立可持续的乳腺癌成像本科生研究项目。