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Medical Image Registration

2011
In this chapter, we cover the necessary background information required to understand medical image registration, the basic tools required to implement registration algorithms, and demonstrate a complete application for various types of registration between different modalities using freely available and maintained software.
Usaf E. Aladl, Terry Peters
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Towards efficient registration of medical images

Computerized Medical Imaging and Graphics, 2007
In this paper we propose a Bayesian based mutual information technique for image registration, combined with an established affine transformation model. Classical affine models allow the images to be approximately aligned. However, inefficiency and inaccuracy has appeared when using these affine models in rigorous circumstances, such as low-resolution ...
Huiyu, Zhou   +5 more
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Medical image registration using fuzzy theory

Computer Methods in Biomechanics and Biomedical Engineering, 2012
Mutual information (MI)-based registration, which uses MI as the similarity measure, is a representative method in medical image registration. It has an excellent robustness and accuracy, but with the disadvantages of a large amount of calculation and a long processing time.
Meisen, Pan, Jingtian, Tang, Qi, Xiong
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Medical Image Registration

2010
Over the last decade, image registration has emerged as one of key technologies in medical image computing with applications ranging from computer assisted diagnosis to computer aided therapy and surgery. This chapter introduces the theory of medical image registration, its implementation and application.
Daniel Rueckert, Julia A. Schnabel
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Medical Image Registration via Steerable Pyramid

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
Image registration is enabling in integrating complementary and heterogeneous information from multiple images, and is particularly important for high-quality healthcare. To improve registration efficiency and accuracy, in this paper, a two-resolution-scale registration approach is proposed.
X, Wang, D D, Feng
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F-information measures in medical image registration.

IEEE transactions on medical imaging, 2001
A measure for registration of medical images that currently draws much attention is mutual information. The measure originates from information theory, but has been shown to be successful for image registration as well. Information theory, however, offers many more measures that may be suitable for image registration.
Pluim, J.P.W.   +2 more
openaire   +5 more sources

3D Medical images registration

IFAC Proceedings Volumes, 2006
Abstract Image registration is the process of overlaying images of the same scene. As we search for the best alignment of the two images by transforming one into the other, it is a very crucial issue to assess how similar two images actually are. The next step in computer aided diagnosis is called “assessment of the similarity”.
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Registration of low resolution medical images

Physics in Medicine and Biology, 1992
There are several situations in which the registration of two medical images is desirable. One example is the registration of two images of the same organ taken using different radionuclide tracers, for example the ventilation and perfusion components of a V/Q lung scan, where the aim is to compare the regional uptake of the two tracers.
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Knowledge-based medical image registration

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2002
Describes a new framework for surface-based medical image registration. By implementing a fuzzy logic system, this method allows the incorporation of human expert knowledge to evaluate the confidence level of two matching points using their multiple local image properties such as gradient direction and curvature.
null Hui-Hua Wen   +2 more
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Medical image registration: an overview

Imaging, 2002
Image registration is the process of aligning images, from a single or from different modalities, so that correspondences between them, or to a model, can be seen more easily.The registration process usually involves (rigid registration) translating and rotating one image with respect to the other, and can also involve changes in scale.More advanced ...
L Hallpike, D J Hawkes
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