Model constrained x-ray tomographic reconstruction, a blueprint for better images
Model constrained x-ray tomographic reconstruction, a blueprint for better images
批准号:
EP/R002495/1
负责人:
Thomas Blumensath
金额:
$64.35万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
X射线成像技术越来越多地用于专业的无损检测和测量应用,特别是在高价值和安全/性能关键行业,如国防或航空航天。目前的断层摄影方法,可以成像详细的内部几何形状,需要从均匀分布在被调查对象周围的角度拍摄X射线图像。然而,由于1)X射线穿透深度有限,以及2)不同的材料以不同的量吸收X射线,因此出现了问题。因此,即使X射线在某些方向上穿透并穿过某些材料是可能的,也常常不能用这些技术对诸如具有变化很大的X射线吸收分布的材料的较大面板或组件之类的大型物体进行成像。航空航天结构中遇到的许多复合材料部件的检查目前不可行,由于其高纵横比或由于存在高吸收金属结构,传统的X射线成像技术。然而,由于其安全关键功能,这些组件通常需要使用非破坏性测试方法定期检查内部缺陷。然而,目前的非破坏性检查方法通常不适用。例如,超声测试通常不能应用于许多先进的复合材料,而热成像具有有限的深度能力。对于这种复合材料,如果这些材料要在未来的航空航天设计中充分发挥其潜力,基于X射线的技术仍然是为数不多的替代方法之一。在当前项目的基础上,我们正在开发X射线成像硬件,使我们能够以非常规扫描轨迹扫描平板碳纤维结构,当前提案旨在开发新的计算方法,以从我们的新系统进行的X射线测量中恢复三维X射线吸收曲线。使用传统方法的当前实验已经表明,可用的X射线断层摄影重建算法在不能从所有方向扫描组件的扫描设置中表现不佳。这是由于该系统的基本物理限制,即无法获得足够的信息来进行良好的重建。只有在重建过程中引入额外的信息,才能克服这一基本限制。对于几乎所有现代制造的部件,幸运的是,这些信息都以详细的CAD图纸的形式提供,我们建议使用这些信息来克服X射线断层重建问题。1)设计一种使用CAD图纸作为先验信息的重建算法,以直接估计对象边界。2)允许估计的表面接近但不一定与CAD模型预测的表面相同。3)仅在估计了对象边界后,使用第二重建步骤来估计X射线吸收的空间分布。4)使用多重网格方法来提高该方法的计算效率为了设计更轻、更便宜和更有效的飞机,许多部件需要变得更轻和更便宜,同时仍然满足严格的性能标准。这通常可以通过使用现代复合材料来实现。由于这些组件的使用是安全关键的,如果要使用这些组件,则需要可靠的检查方法。我们的发展将使之成为可能。
英文摘要
X-ray imaging technology is increasingly used for specialised non-destructive testing and measurement applications, especially in high value and safety/performance critical industries, such as defence or aerospace. Current tomographic methods, which can image detailed internal geometries, require x-ray images to be taken from angles evenly spaced around the object under investigation. However, problems arise because 1) x-ray penetration depth is limited and 2) different materials absorb x-rays in varying amounts. Thus, large objects such as larger panels or assemblies with materials with widely varying x-ray absorption profiles can thus often not be imaged with these techniques, even if x-ray penetration is possible in some directions and through some materials. The inspection of many composite components encountered in aerospace structures is not currently feasible with traditional x-ray imaging techniques, either due to their high aspect ratio or due to the presence of highly absorbing metal structures. Yet owing to their safety critical function, such components often need to be inspected regularly for internal defects using non-destructive testing methods. Current non-destructive inspection approaches, however, are often not applicable. For example, ultrasound testing can often not be applied to many advanced composite materials whilst thermography has limited depth capability. For such composite materials, x-ray based techniques remain one of the few alternatives if these materials are to be used to their full potential in future aerospace design. Building on a current project in which we are developing x-ray imaging hardware that allows us to scan flat panel carbon fibre structures with unconventional scan trajectories, the current proposal aims at the development of new computational methods to recover the three dimensional x-ray absorption profile from the x-ray measurements made with our new system. Current experiments using traditional methods have shown that available x-ray tomography reconstruction algorithms perform poorly in scan settings where a component cannot be scanned from all directions. This is due to a fundamental physical limitation of the system, which is just not able to acquire enough information to allow good reconstructions. This fundamental limit can only be overcome if we can introduce additional information into the reconstruction.For nearly all modern manufactured components, such information is luckily available in the form of detailed CAD drawings and it is this information we propose to use to overcome the x-ray tomographic reconstruction problem.In particular, we will address the following problems. 1) Design a reconstruction algorithm that uses CAD drawings as prior information in order to directly estimate object boundaries. 2) Allow the estimated surface to be close to, but not necessarily identical to the surfaces predicted by the CAD model.3) Only once object boundaries have been estimated, use a second reconstruction step to estimate the spatial distribution of x-ray absorption.4) Use a multigrid approach to increase computational efficiency of the methodTo design lighter, cheaper and more efficient airplanes, many components need to become lighter and cheaper whilst still satisfying strict performance standards. This can often be achieved using modern composite materials. As the use of these components is safety critical, reliable inspection methods are required if these components are to be used. Our developments will enable this.
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DOI:
10.1016/j.ndteint.2020.102222
发表时间:
2020-04-01
期刊:
NDT & E INTERNATIONAL
影响因子:
4.2
作者:
[Deyhle, Hans, Towsyfyan, Hossein, Blumensath, Thomas]
通讯作者:
Blumensath, Thomas
Scalable FBP decomposition for cone-beam CT reconstruction
用于锥束 CT 重建的可扩展 FBP 分解
DOI:
10.1145/3458817.3476139
发表时间:
2021
期刊:
影响因子:
--
作者:
[Chen P]
通讯作者:
Chen P
Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox
使用 TIGRE 工具箱在多个 GPU 上进行任意大型迭代断层扫描重建
DOI:
10.48550/arxiv.1905.03748
发表时间:
2019
期刊:
影响因子:
--
作者:
[Biguri A]
通讯作者:
Biguri A
Calibration of Robotic Manipulator Systems for Cone-Beam Tomography Imaging
锥束断层扫描成像机器人操纵器系统的校准
DOI:
10.1109/tns.2018.2843807
发表时间:
2018
期刊:
IEEE Transactions on Nuclear Science
影响因子:
1.8
作者:
[Blumensath T]
通讯作者:
Blumensath T
DOI:
10.1049/iet-ipr.2017.1344
发表时间:
2018
期刊:
IET Image Processing
影响因子:
2.3
作者:
[Blumensath T]
通讯作者:
Blumensath T
共 8 条
Constrained low rank matrix recovery: from efficient algorithms to brain network imaging
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批准号:EP/K037102/1
-
项目类别:Research Grant
-
资助金额:$12.03万
-
财政年份:2014
-
负责人:Thomas Blumensath
-
依托单位:
国内基金
海外基金
新型IIIB、IVB 族元素手性CGC金属有机化合物(Constrained-Geometry Complexes)的合成及反应性研究
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批准号:20602003
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项目类别:青年科学基金项目
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资助金额:26.0万元
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批准年份:2006
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负责人:自国甫
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依托单位: