Parallel Iterative Methods with A Priori Information for Robust Computed Laminography of Low Contrast, Difficult-To-Measure Objects

具有先验信息的并行迭代方法，用于低对比度、难以测量物体的鲁棒计算层析成像

• 批准号: 226021938
• 负责人: Professor Dr. Alfred Karl Louis
• 金额: --
• 依托单位: Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/226021938?language=en
• 关键词: Parallel; Iterative; Methods; Priori; Information

The goal of this project is to develop a novel 3D tomographic reconstruction method to make computed laminography (CL) a viable technique for non-destructive inspection scenarios, where standard computed tomography (CT) yields unsatisfying results, for example inspection of multilayered printed circuit boards, layer structure analysis of fibre-reinforced plastic, or inspection of large unwieldy components used in lightweight construction. To improve the reconstruction quality and performance every aspect of the pipeline from calibration of the scanner over the mathematical modelling to fast parallel algorithms on modern hardware has to be addressed. We focus on four key research areas: 1) consistent use of a priori information across the whole reconstruction pipeline, 2) optimization of basis functions and iterative convergence criteria, 3) reduction of the reconstruction time and resource usage by utilizing novel parallel hardware architectures, and 4) robust and efficient calibration of the data acquisition routines. Such a cross-disciplinary, whole-pipeline optimization requires the cooperation of researchers from the fields of mathematics, computer science, and engineering.

该项目的目标是开发一种新颖的 3D 断层扫描重建方法，使计算机断层扫描 (CL) 成为无损检查场景的可行技术，其中标准计算机断层扫描 (CT) 产生的结果不令人满意，例如多层印刷电路板的检查、纤维增强塑料的层结构分析，或检查轻质结构中使用的大型笨重部件。为了提高重建质量和性能，必须解决从数学建模上的扫描仪校准到现代硬件上的快速并行算法的流程的各个方面。我们专注于四个关键研究领域：1）在整个重建流程中一致使用先验信息，2）基函数和迭代收敛标准的优化，3）利用新颖的并行硬件架构减少重建时间和资源使用， 4) 数据采集例程的稳健且高效的校准。这种跨学科、全流程的优化需要来自数学、计算机科学和工程学领域的研究人员的合作。

项目成果

The Ettention software package.

• DOI: 10.1016/j.ultramic.2015.10.012
• 发表时间: 2016-02
• 期刊: Ultramicroscopy
• 影响因子: 2.2
• 作者: Tim Dahmen;L. Marsalek;Nico Marniok;Beata Turonová;S. Bogachev;Patrick Trampert;Stefan Nickels;P. Slusallek

Advanced recording schemes for electron tomography

电子断层扫描的先进记录方案

• DOI: 10.1557/mrs.2016.135
• 发表时间: 2016
• 期刊: MRS Bulletin
• 影响因子: 5
• 作者: Dahmen;Trampert;de Jonge;Slusallek
• 通讯作者: Slusallek

Spherically symmetric volume elements as basis functions for image reconstructions in computed laminography.

球对称体积元素作为计算机断层扫描中图像重建的基函数

• DOI: 10.3233/xst-16230
• 发表时间: 2017
• 期刊: Journal of X-ray science and technology
• 影响因子: 3
• 作者: Trampert;Patrick;Vogelgesang;Schorr;Christian;Michael;Bogachev;Sviatoslav;Marniok;Alfred;Dahmen;Slusallek;Philipp
• 通讯作者: Philipp

A Semi-Discrete Landweber–Kaczmarz Method for Cone Beam Tomography and Laminography Exploiting Geometric Prior Information

利用几何先验信息进行锥形束层析成像和层析成像的半离散 LandweberâKaczmarz 方法

• DOI: 10.1007/s11220-016-0142-7
• 发表时间: 2016
• 期刊: Sensing and Imaging
• 影响因子: 2.2
• 作者: Vogelgesang;Schorr
• 通讯作者: Schorr

Combined reconstruction and edge detection in dimensioning

尺寸标注中的组合重建和边缘检测

• DOI: 10.1088/0957-0233/24/12/125601
• 发表时间: 2013
• 期刊: Measurement Science and Technology
• 影响因子: 2.4
• 作者: Schorr