Multiparametric Tissue Characterization for Breast Cancer Screening Using Transmission and Reflection Ultrasound Tomography

使用透射和反射超声断层扫描进行乳腺癌筛查的多参数组织表征

• 批准号: 10675896
• 负责人: Rehman Ali
• 金额: $ 6.91万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10675896
• 关键词: 3-Dimensional; Acoustics; Algorithms; Breast; Breast Cancer Detection; Breast Cancer Early Detection; Breast cancer metastasis; Callback; Cancer Detection; Detection; Disease; Early Diagnosis; Equation; Exposure to; FDA approved; Goals; Health Care Costs; Healthcare Systems; Image; Ionizing radiation; Knowledge; Malignant Neoplasms; Mammary Gland Parenchyma; Mammary Ultrasonography; Mammography; Measures; Methods; Modeling; Morphologic artifacts; Nonionizing Radiation; Patient Care; Patients; Performance; Physiologic pulse; Property; Radiation; Research; Resolution; Roentgen Rays; Screening for cancer; Screening procedure; Sensitivity and Specificity; Signal Transduction; Speed; System; Techniques; Technology; Testing; Tissue Expansion; Tissue Model; Tissue imaging; Tissues; Translating; Ultrasonic wave; Ultrasonography; United States; Water; Woman; Work; World Health Organization; X-Ray Tomography; acoustic imaging; attenuation; bone; breast imaging; cancer biomarkers; cancer diagnosis; cost; density; diagnostic value; early detection biomarkers; imaging capabilities; imaging modality; improved; malignant breast neoplasm; migration; reconstruction; screening; sound; three-dimensional modeling; tomography; transmission process; ultrasound

PROJECT SUMMARY/ABSTRACT Breast cancer is the most diagnosed cancer in women in the United States and the most commonly occurring cancer worldwide according to the World Health Organization. The primary screening method for non-palpable breast cancers is X-ray mammography, which uses ionizing radiation and often has low sensitivity and specificity in dense breasts. Ultrasound tomography offers a low-cost alternative to X-ray mammography that can image the breast based on its acoustic properties and enable early cancer detection and diagnosis, while avoiding the potentially harmful effects of ionizing radiation. Currently, ultrasound tomography of the breast generally relies primarily on the transmission of ultrasound through the tissue to reconstruct underlying tissue properties such as sound speed and attenuation. However, a significant gap in our knowledge is the simultaneous modeling of signals transmitted through the tissue and signals reflected from the tissue to estimate these tissue properties. Combining transmission and reflection information from an ultrasound tomography system will enable accurate estimation of difficult-to-measure tissue properties such as the mass density. Furthermore, the addition of reflection information may enable tissue characterization in acoustically challenging cases where transmission information is less reliable (e.g., transmission through bone, partial angle tomography). I propose to improve the robustness of ultrasound transmission tomography by incorporating reflection information and enable the estimation of mass density. In order to expand the capabilities of the ultrasound tomography system I aim to: extend transmission tomography to three dimension in order account for out-of-plane scattering (Aim 1); develop algorithms to simultaneously reconstruct the sound speed, acoustic attenuation, and mass density of tissue using the complete transmission and reflection information acquired by an ultrasound tomography system (Aim 2); and develop sound speed reconstruction algorithms solely based on the reflected ultrasound signal, which will also benefit the applications of handheld pulse-echo ultrasound (Aim 3). These aims will improve our understanding of acoustic models applicable to ultrasound signals in both transmission and reflection as well as how these models may be inverted to reconstruct accurate and spatially resolved images of tissue properties. Expanding the tissue characterization capabilities of ultrasound tomography will enable a multi-parametric approach for the detection and characterization of breast cancer using a non-ionizing radiation imaging modality. Improving the robustness of ultrasound tomography in acoustically challenging cases will also enable cancer detection outside of the breast and may further enable detection of breast cancer metastasis. The proposed work will broadly benefit the ultrasound imaging field by improving our tissue modeling and characterization capabilities and enabling the early detection of disease based on acoustic tissue properties.

项目摘要/摘要 乳腺癌是美国女性最常见的癌症，也是最常见的癌症 根据世界卫生组织，全球发生癌症。主要筛选方法 X射线乳房摄影是不可钙的乳腺癌，它使用电离辐射，并且通常具有较低的 乳房的敏感性和特异性。超声断层扫描提供了X射线的低成本替代品 可以根据其声学特性对乳房进行成像的乳腺X线摄影并实现早期癌症检测 和诊断，同时避免电离辐射的潜在有害影响。目前，超声波 乳房的层析成像通常主要依赖于超声通过组织的传播 重建基础组织特性，例如音速和衰减。但是，有很大的差距 我们的知识是通过组织传输的信号的同时建模和反映的信号 从组织估计这些组织特性。结合传输和反射信息 超声断层扫描系统将能够准确估计难以估量的组织特性，例如 质量密度。此外，添加反射信息可能会在组织表征 传播信息较差的声学挑战性案例（例如，通过骨骼传输， 部分角断层扫描）。我建议提高超声传输断层扫描的鲁棒性 通过合并反射信息并实现质量密度的估计。 为了扩大超声断层扫描系统的功能，我要进行：扩展传输 断层扫描到三维的顺序占用外散射（AIM 1）；开发算法 同时使用该组织的声速，声学衰减和质量密度使用 超声断层扫描系统获得的完整传输和反射信息（AIM 2）；和 仅根据反射的超声信号开发声速重建算法，这也将 有益于手持式脉冲回波超声的应用（AIM 3）。这些目标将改善我们的理解 适用于传输和反射中超声信号的声学模型以及如何 模型可以倒置以重建组织特性的准确和空间分辨的图像。扩展 超声断层扫描的组织表征能力将实现一种多参数方法 使用非离子辐射成像方式对乳腺癌的检测和表征。改进 超声断层扫描在声学挑战的情况下的鲁棒性也将使癌症检测 在乳房外，可以进一步检测乳腺癌转移。拟议的工作将 通过提高我们的组织建模和表征能力，可以广泛地使超声成像场受益 并基于声学组织特性使疾病早期检测。