3D Digital Breast Phantoms For Multimodality Research

用于多模态研究的 3D 数字乳房模型

• 批准号: 8461084
• 负责人: William P Segars
• 金额: $ 29.94万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-19 至 2014-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8461084
• 关键词: Anatomy; Area; Breast; Breast Cancer Treatment; Breast Microcalcification; Cardiac; Characteristics; Complex; Computer Graphics; Computer Simulation; Computer software; Data; Data Set; Detection; Diagnosis; Disease; Early Diagnosis; Elements; Female; Female breast; Foundations; Four-dimensional; Goals; Health; Human; Image; Imaging Device; Imaging Techniques; Laboratories; Lesion; Literature; Mammography; Measurement; Medical Imaging; Methodology; Methods; Modality; Modeling; Morbidity - disease rate; Patients; Performance; Physiology; Positioning Attribute; Reporting; Research; Resolution; Series; Simulate; Source; Stratification; Surface; System; Techniques; Texture; Three-Dimensional Imaging; Time; Tissues; Universities; Variant; Work; base; clinical practice; clinically relevant; computerized; data modeling; design; digital; flexibility; imaging modality; improved; male; malignant breast neoplasm; mortality; multimodality; public health relevance; radiologist; simulation; tool; volunteer

DESCRIPTION (provided by applicant): Breast imaging is an important area of research with many new techniques being investigated to further reduce the morbidity and mortality of breast cancer through early detection. Computerized phantoms can provide an essential tool to quantitatively compare new imaging systems and techniques. Current phantoms used in breast imaging research lack sufficient realism in depicting the complex three-dimensional (3D) anatomy of the breast. Also, they are frequently limited to a single application, typically mammography, and do not have the flexibility to be applied to other emerging modalities such as tomosynthesis or CT. The four-dimensional (4D) NURBS-based cardiac-torso (NCAT) phantom, which provides a realistic and flexible model of the human anatomy and physiology, is widely used in imaging research. Previously limited to only a male anatomy, the NCAT was recently extended to include a detailed, whole-body anatomy for both a male and female subject. Despite this advancement, a current limitation to the phantom is that the female breast is modeled using only a simple outer surface and does not include any anatomical detail. As a result, the NCAT is severely limited in its application to breast imaging research where it may have a profound impact. The goal of this work is to create a series of detailed 3D computational breast phantoms capable of realistically simulating a wide range of anatomical variations in health and disease and with the flexibility to model different compression states of the breast for various imaging modalities and to incorporate them seamlessly into the 4D NCAT phantom for breast imaging research. UC Davis has one of the only laboratories in the world which has acquired over a hundred high-resolution breast CT datasets of normal subjects as well those with disease. The normal background anatomy of the phantoms will be constructed using state-of-the-art computer graphics techniques based on this unique data. Through an analysis of abnormal 3D imaging data, modeling techniques will be developed to simulate a range of typical abnormalities (microcalcifications and masses) indicative of breast cancer. Finite element methods will be developed and validated to simulate different compression states of the breast, enabling the phantoms to be applicable to various imaging modalities. This work will provide the necessary foundation to quantitatively evaluate and compare existing and emerging breast imaging devices and techniques. Unlike current, simplified breast models, the proposed phantoms, with the ability to simulate realistic, predictive patient imaging data from anatomically diverse subjects using different acquisition methods, would provide a more complete assessment of imaging techniques, not just in terms of simplified physical characteristics, but in terms of clinically relevant performance. As such, the phantoms will provide a unique and vital tool for breast imaging research.

描述（由申请人提供）：乳房成像是研究的重要领域，正在研究许多新技术，以进一步通过早期发现降低乳腺癌的发病率和死亡率。计算机化幻象可以为定量比较新的成像系统和技术提供必不可少的工具。乳房成像研究中使用的当前幻影缺乏足够的现实主义，描绘了乳房的复杂三维（3D）解剖结构。此外，它们通常仅限于单个应用程序，通常是乳房X线摄影，并且没有灵活性应用于其他新兴方式，例如Tomosynthesis或CT。基于NURBS的四维（4D）基于NURBS的心脏扭力（NCAT）幻影，它提供了人类解剖学和生理学的现实且灵活的模型，被广泛用于成像研究中。以前仅限于男性解剖结构，NCAT最近被扩展到包括男性和女性受试者的详细的全身解剖结构。尽管有这种进步，但目前对幻影的局限性是，女性乳房仅使用简单的外表面建模，并且不包含任何解剖学细节。结果，NCAT在其乳房成像研究中的应用中受到严重限制，在该研究中可能会产生深远的影响。这项工作的目的是创建一系列详细的3D计算乳房幻象，能够实际模拟健康和疾病的各种解剖学变化，并具有灵活性，以对各种想象的乳房的不同压缩状态进行建模，以使它们无缝融合到4D NCAT NCAT PHANTOM中，以进行母乳研究。加州大学戴维斯分校（UC Davis）拥有世界上仅有的实验室之一，该实验室已经获得了正常受试者的一百多个高分辨率乳房CT数据集以及患有疾病的受试者。基于此独特数据，将使用最先进的计算机图形技术来构建幻影的正常背景解剖。通过对异常3D成像数据的分析，将开发建模技术来模拟指示乳腺癌的一系列典型异常（微钙化和质量）。将开发和验证有限元方法，以模拟乳房的不同压缩状态，从而使幻影适用于各种成像方式。这项工作将为定量评估和比较现有和新兴的乳房成像设备和技术提供必要的基础。与当前的简化乳房模型不同，所提出的幻象可以使用不同的采集方法模拟来自解剖学上不同受试者的现实，预测性的患者成像数据，这将提供对成像技术的更完整评估，而不仅仅是简化的物理特征，而是在临床上相关的绩效方面提供了更完整的评估。因此，幻影将为乳房成像研究提供独特而重要的工具。

项目成果

Development and application of a suite of 4-D virtual breast phantoms for optimization and evaluation of breast imaging systems.

• DOI: 10.1109/tmi.2014.2312733
• 发表时间: 2014-07
• 期刊: IEEE transactions on medical imaging
• 影响因子: 10.6
• 作者: Kiarashi N;Lo JY;Lin Y;Ikejimba LC;Ghate SV;Nolte LW;Dobbins JT 3rd;Segars WP;Samei E
• 通讯作者: Samei E