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Advanced image reconstruction for accurate and high-resolution breast ultrasound tomography

先进的图像重建，可实现精确、高分辨率的乳腺超声断层扫描

基本信息

批准号：
10442593
负责人：
Mark A Anastasio
金额：
$ 57.49万
依托单位：
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-13 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10442593
关键词：
3-Dimensional 3D ultrasound Acoustics Adoption Algorithms Award Benign Breast Characteristics Clinical Clinical Data Clinical effectiveness Computer Simulation Coupled Data Detection Development Diagnostic Disease Equation Evaluation Formulation Frequencies Height Image Ionizing radiation Location Mammary Ultrasonography Mammography Measures Methods Modality Morphologic artifacts Noise Normal tissue morphology Outcome Physics Physiologic pulse Probability Property Radiation Reader Reporting Resolution Roentgen Rays Screening procedure Shapes Slice Specificity Speed System Technology Thinness Time Tissues Transducers Visual Work X-Ray Computed Tomography accurate diagnosis attenuation base breast cancer diagnosis breast imaging breast lesion clinical application experience image reconstruction imaging modality improved innovation malignant breast neoplasm member public health relevance quantitative ultrasound radiologist reconstruction soft tissue sound tomography ultrasound

项目摘要

ABSTRACT The broad objective of this project is to develop and refine advanced tomographic image reconstruction methods for ultrasound computed tomography (UST), referred to as waveform inversion methods, which will permit high resolution and quantitative breast imaging. These methods will yield volumetric estimates of the speed of sound (SOS) and acoustic attenuation (AA) distributions within the breast. The SOS and AA represent bio-parameters that can reveal differences in the geometric and elastic properties of tissue. Such information can greatly facilitate the differentiation of breast cancer from normal tissue or benign disease. Accordingly, UST holds great potential for improving the detection and management of breast cancer since it exploits effective endogenous tissue contrasts, is radiation- and breast-compression-free, and is relatively inexpensive. The SoftVue whole breast UST system developed by members of our team has been awarded FDA 510(k) clearance for diagnostic applications. Most reported methods for breast UST are ray-based and do not take into account acoustic diffraction effects; this results in images of relatively poor spatial resolution and accuracy. This is highly undesirable for breast imaging applications, in which the ability to resolve fine features is important for distinguishing healthy from diseased tissues. Waveform inversion methods for UST image reconstruction are based on the full acoustic wave equation and can circumvent the limitations of ray-based methods, thereby permitting high- resolution quantitative UST breast imaging. However, the application of waveform inversion methods to breast UST employing ring-transducer arrays has to-date employed 2D reconstruction methods to estimate sectional UST images. Because 3D wave propagation physics and the focusing properties of the transducers are not accounted for in this 2D approach, the images can contain significant artifacts and degraded spatial resolution. In this project, we will develop and optimize 3D UST waveform inversion methods for reconstructing SOS and AA images of the breast of unprecedented quality. These methods will utilize acoustic data measured at one or more locations of the ring-transducer array and will compensate for 3D wave physics and the focusing properties of the transducers. In this approach, a thin (in height) volume will be reconstructed instead of a single 2D slice. Whole breast imaging can then be accomplished by merging the thin reconstructed volumes corresponding to different locations instead of stacking lower quality 2D slices as done in existing 2D methods. The developed methods will be evaluated and refined by use of phantom and clinical data. The specific aims of this project are: (1) Develop waveform inversion methods for high resolution SOS imaging; (2) Develop waveform inversion methods for high resolution AA imaging; (4) Refinement of reconstruction methods via breast phantom studies; (5) Assessment and refinement of reconstruction methods using clinical data.

摘要这个项目的主要目标是开发和完善先进的断层图像重建用于超声计算机断层摄影（UST）的方法，称为波形反演方法，其将允许高分辨率和定量乳房成像。这些方法将产生的体积估计的乳房内的声速（SOS）和声衰减（AA）分布。SOS和AA 表示可以揭示组织的几何和弹性特性的差异的生物参数。等信息可以极大地促进乳腺癌与正常组织或良性疾病的鉴别。因此，UST具有改善乳腺癌检测和管理的巨大潜力，因为它利用有效的内源性组织对比，无辐射和乳房压迫，便宜.我们团队成员开发的SoftVue全乳UST系统已被授予 FDA 510（k）批准用于诊断应用。大多数报道的乳腺超声检查方法都是基于射线的，没有考虑声学衍射影响;这导致图像的空间分辨率和精度相对较差。这是非常不可取的，乳腺成像应用，其中分辨精细特征的能力对于区分健康从病变组织中分离出来超声图像重建的波形反演方法是基于完整的声波方程，并可以规避基于射线的方法的限制，从而允许高- 分辨率定量UST乳腺成像。然而，将波形反演方法应用于乳房采用环形换能器阵列的UST迄今已采用2D重建方法来估计截面 UST图像。因为换能器的3D波传播物理和聚焦特性不是考虑到这种2D方法，图像可能包含显著的伪影和退化的空间分辨率。在这个项目中，我们将开发和优化三维UST波形反演方法，以重建SOS 以及前所未有的高质量的AA级乳房图像。这些方法将利用测量的声学数据，环形换能器阵列的一个或多个位置，并将补偿3D波物理和聚焦换能器的特性。在这种方法中，将重建薄（高度）体积，而不是重建高体积。单个2D切片。然后通过合并薄的重建体积可以完成整个乳房成像而不是像现有2D方法中那样堆叠较低质量的2D切片。将通过使用体模和临床数据对所开发的方法进行评价和改进。的具体目标该项目的主要内容是：（1）开发高分辨率SOS成像的波形反演方法;（2）开发高分辨率AA成像的波形反演方法;（4）通过乳腺体模研究;（5）使用临床数据评估和改进重建方法。