课题基金 / 基金详情

Mathematical and algorithmical analysis of geometric reconstruction tasks arising in refraction- and diffraction-based tomography

Mathematical and algorithmical analysis of geometric reconstruction tasks arising in refraction- and diffraction-based tomography
基于折射和衍射的断层扫描中出现的几何重建任务的数学和算法分析
批准号:
192180847
负责人:
Professor Dr. Peter Gritzmann
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2011
资助国家:
德国
项目状态:
已结题
起止时间:
2010-12-31 至 2015-12-31

项目摘要

项目成果

Professor Dr. Peter Gritzmann的其他基金

相关文献

中文摘要
翻译
计算机断层扫描(CT),从多个X射线投影获得标本内的密度分布的过程,在过去的三十年里彻底改变了诊断放射学。虽然标准CT是基于吸收的原则,我们专注于三个新的实验技术,是基于折射和(晶体)衍射。目标是进一步提高以前基本上不可见的物体部分的分辨率。从技术方面来看,这些方法是由我们的项目合作伙伴开发的,并且仍然是他们的研究重点。它们被称为通过微分相衬的层析成像、利用同步加速器X射线的三维X射线衍射(3DXRD)和利用由X射线自由电子激光(XFEL)产生的X射线的3DXRD。我们的目标是发起和发展的一般理论的几何重建折射和衍射层析成像。在这里,几何意味着样本-如在本项目中讨论的应用-可以被视为几何对象,如多面体,凸体,或某些格集(或工会)。这种几何的观点应该使我们能够设计和探索上述三种实验技术的强大的专用重建算法。
英文摘要
Computerized tomography (CT), the process of obtaining the density distribution within a specimen from multiple X-ray projections, has revolutionized diagnostic radiology over the past three decades. While standard CT is based on the principle of absorption, we focus on three novel experimental techniques that are based on refraction and (crystal) diffraction. The goal is to further enhance the resolution of previously largely invisible parts of the objects. From the technical side, these methods were developed by and are still at the research focus of our project partners. They are known as tomography by differential phase contrast, 3-dimensional X-ray diffraction (3DXRD) with synchrotron X-rays, and 3DXRD with X-rays generated by X-ray free electron lasers (XFELs). Our aim is to initiate and develop a general theory of geometric reconstruction in refraction- and diffraction-based tomography. Here, geometric means that the specimen - as in the applications discussed in this project - can be considered as geometric objects, such as polytopes, convex bodies, or certain lattice sets (or unions of those). This geometric point of view should allow us to devise and explore robust special-purpose reconstruction algorithms for the three experimental techniques mentioned above.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.cpc.2014.10.022
发表时间: 2013-07
期刊: Comput. Phys. Commun.
影响因子: --
作者: [A. Alpers;P. Gritzmann;D. Moseev;M. Salewski]
通讯作者: A. Alpers;P. Gritzmann;D. Moseev;M. Salewski
DOI: 10.1063/1.4906928
发表时间: 2015-01
期刊: Applied Physics Letters
影响因子: 4
作者: [Jiajian Zhu;Jinlong Gao;A. Ehn;M. Aldén;Zhongshan Li;D. Moseev;Y. Kusano;M. Salewski;A. Alpers;P. Gritzmann;M. Schwenk]
通讯作者: Jiajian Zhu;Jinlong Gao;A. Ehn;M. Aldén;Zhongshan Li;D. Moseev;Y. Kusano;M. Salewski;A. Alpers;P. Gritzmann;M. Schwenk
Geometric reconstruction methods for electron tomography.
电子断层扫描的几何重建方法
DOI: 10.1016/j.ultramic.2013.01.002
发表时间: 2013
期刊: Ultramicroscopy
影响因子: 2.2
作者: [A. Alpers, R. J. Gardner, S. König, R. S. Pennington, C. B. Boothroyd, L. Houben, R. E. Dunin-Borkowski, K. J. Batenburg]
通讯作者: K. J. Batenburg
Coloring [Formula: see text]-Embeddable [Formula: see text]-Uniform Hypergraphs.
着色【公式:见正文】-可嵌入【公式:见正文】-统一超图
DOI: 10.1007/s00454-014-9641-2
发表时间: 2014
期刊: Discrete & computational geometry
影响因子: 0.8
作者: [C. G. Heise, K. Panagiotou, O. Pikhurko, A. Taraz]
通讯作者: A. Taraz
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