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GLOBAL- Manchester Image Reconstruction and ANalysis (MIRAN): Step jumps in imaging by Global Exchange of user pull and method push

GLOBAL-曼彻斯特图像重建和分析（MIRAN）：通过用户拉动和方法推送的全球交换实现成像的步骤跳跃

基本信息

批准号：
EP/K00428X/1
负责人：
William Lionheart
金额：
$ 63.5万
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2012
资助国家：
英国
起止时间：
2012 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FK00428X%2F1
关键词：
GLOBAL Manchester Image Reconstruction ANalysis

项目摘要

By "reconstructive imaging" we mean methods of making two, or three, dimensional images of the inside of objects from measurements taken on the outside. Common examples include the scanners (x-ray, MRI and ultrasound) familiar in hospitals. In such systems an image is not formed directly as in a camera but is calculated by a computer from the data the machine measures, and this involves solving what in mathematics is called an "inverse problem" - working backwards from the data to the image. The mathematics and the computer science behind solving inverse problems are complex and challenging. The same mathematical problems that arise in medical imaging arise in geophysical imaging, used for example in searching for oil or an archaeological survey, in studying the behaviour of new materials, for example to make aircraft turbine blades, in the detection of landmines and unexploded bombs, and in monitoring flows, mixtures and flames in industrial processes.In this project we will bring together scientists, mathematicians and engineers who work on a wide range of reconstructive imaging problems, so that the insights gained from one problem can be applied to another and better ways to solve these problems will emerge from working together on aspects the problems have in common.

我们所说的“重建成像”指的是根据物体外部的测量结果制作物体内部的二维或三维图像的方法。常见的例子包括医院熟悉的扫描仪(x光、核磁共振和超声波)。在这样的系统中，图像不是像照相机那样直接形成的，而是由计算机根据机器测量的数据计算出来的，这涉及到解决在数学上被称为“逆问题”的问题--从数据到图像的反向计算。解逆问题背后的数学和计算机科学是复杂和具有挑战性的。医学成像在地球物理成像中出现了同样的数学问题，例如用于寻找石油或考古调查，研究新材料的行为，例如制造飞机涡轮叶片，探测地雷和未爆炸的炸弹，以及监测工业过程中的流动、混合物和火焰。在这个项目中，我们将把致力于广泛重建成像问题的科学家、数学家和工程师聚集在一起，以便从一个问题中获得的见解可以应用于另一个问题，通过在这些问题的共同方面进行合作，将出现解决这些问题的更好方法。