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基于互信息的医学图像配准:综述

Mutual-information-based registration of medical images: a survey.

作者信息

Pluim Josien P W, Maintz J B Antoine, Viergever Max A

机构信息

University Medical Center Utrecht, Image Sciences Institute, Room E01.335, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

出版信息

IEEE Trans Med Imaging. 2003 Aug;22(8):986-1004. doi: 10.1109/TMI.2003.815867.

Abstract

An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application. Methods are classified according to the different aspects of mutual-information-based registration. The main division is in aspects of the methodology and of the application. The part on methodology describes choices made on facets such as preprocessing of images, gray value interpolation, optimization, adaptations to the mutual information measure, and different types of geometrical transformations. The part on applications is a reference of the literature available on different modalities, on interpatient registration and on different anatomical objects. Comparison studies including mutual information are also considered. The paper starts with a description of entropy and mutual information and it closes with a discussion on past achievements and some future challenges.

摘要

本文概述了基于互信息的医学图像处理文献。本次综述的目的有三个:为该领域的新手提供介绍,为该领域的从业者提供概述,为寻找特定应用文献的人提供参考。方法根据基于互信息的配准的不同方面进行分类。主要分为方法学和应用两个方面。方法学部分描述了在图像预处理、灰度值插值、优化、互信息度量的适配以及不同类型的几何变换等方面所做的选择。应用部分是关于不同模态、患者间配准和不同解剖对象的现有文献的参考。还考虑了包括互信息在内的比较研究。本文首先描述了熵和互信息,最后讨论了过去的成就和一些未来的挑战。

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