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 乳腺癌是美国女性中最常见的癌症，也是最常见的癌症。 据世界卫生组织统计，全球范围内发生的癌症。初筛方法 不可触及的乳腺癌是X射线乳房X光检查，它使用电离辐射，通常具有低 敏感性和特异性。超声波断层扫描提供了一种低成本的替代X射线 乳房X光检查，可以根据其声学特性对乳房进行成像，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 乳房的断层摄影通常主要依赖于超声波通过组织的传输， 重建诸如声速和衰减的潜在组织特性。然而， 我们的知识是通过组织传输的信号和反射的信号的同时建模 来估计这些组织特性。组合来自一个 超声断层摄影系统将能够精确估计难以测量的组织特性 质量密度此外，反射信息的添加可以使得能够进行组织表征。 在传输信息不太可靠的声学上具有挑战性的情况下（例如，通过骨骼传播， 部分角度层析成像）。我建议提高超声透射断层扫描的鲁棒性 通过结合反射信息并能够估计质量密度。 为了扩展超声波断层扫描系统的功能，我的目标是： 断层扫描到三维，以便考虑面外散射（目标1）;开发算法， 同时重建声速，声衰减，和质量密度的组织使用 由超声断层摄影系统（Aim 2）采集的完整的透射和反射信息;以及 开发仅基于反射超声信号的声速重建算法，该算法还将 有利于手持式脉冲回波超声的应用（Aim 3）。这些目标将提高我们的理解 的声学模型适用于超声信号的传输和反射，以及如何这些 可以反转模型以重建组织特性的精确和空间分辨的图像。扩大 超声断层扫描的组织表征能力将使多参数方法成为可能 使用非电离辐射成像模式检测和表征乳腺癌。改善 超声断层扫描在声学上具有挑战性的情况下的鲁棒性也将使癌症检测成为可能 并且可以进一步使得能够检测乳腺癌转移。拟议的工作将 通过提高我们的组织建模和表征能力， 并且能够基于声学组织特性来早期检测疾病。