A Review on Medical Image Registration as an Optimization Problem.

A Review on Medical Image Registration as an Optimization Problem.
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作为优化问题的医学图像配准综述

DOI:
10.2174/1573405612666160920123955
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发表时间:
2017-08
影响因子:
--
通讯作者:
Du H
Du H
中科院分区:
医学4区
文献类型:
--
作者:
Song G;Han J;Zhao Y;Wang Z;Du H

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目的:在临床治疗过程中,为了提供准确、完整的病人信息,医生需要多种医疗媒介。医学图像配准技术可以为医生提供更丰富的诊断和治疗信息,并作为优化问题为参与图像配准的研究人员提供全面的参考源。方法:图像配准的实质是将两幅或两幅以上不同的图像进行空间关联,并得到其空间关系的平移。对于医学图像配准,其过程不是绝对的。其核心目的是找出不同图像之间的转换关系。结果:图像配准的主要步骤包括图像几何尺寸的改变、图像组合的改变、图像相似度的度量、迭代优化和迭代过程。结论:本文的贡献在于梳理了图像配准的相关研究方法,可以为图像配准的研究者提供一个简单的参考。
Objective: In the course of clinical treatment, several medical media are required by a phy-sician in order to provide accurate and complete information about a patient. Medical image registra-tion techniques can provide a richer diagnosis and treatment information to doctors and to provide a comprehensive reference source for the researchers involved in image registration as an optimization problem. Methods: The essence of image registration is associating two or more different images spatial asso-ciation, and getting the translation of their spatial relationship. For medical image registration, its pro-cess is not absolute. Its core purpose is finding the conversion relationship between different images. Result: The major step of image registration includes the change of geometrical dimensions, and change of the image of the combination, image similarity measure, iterative optimization and interpo-lation process. Conclusion: The contribution of this review is sort of related image registration research methods, can provide a brief reference for researchers about image registration.
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