MULTI-FEATURE MUTUAL INFORMATION IMAGE REGISTRATION
نویسندگان
چکیده
منابع مشابه
Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging
Multi-modal image registration is becoming an increasingly powerful tool for medical diagnosis and treatment. The combination of di↵erent image modalities facilitates much greater understanding of the underlying condition, resulting in improved patient care. Mutual Information is a popular image similarity measure for performing multi-modal image registration. However, it is recognised that the...
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medical image registration methods which use mutual information as similarity measure have been improved in recent decades. mutual information is a basic concept of information theory which indicates the dependency of two random variables (or two images). in order to evaluate the mutual information of two images their joint probability distribution is required. several interpolation methods, su...
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Multi-sensory data fusion and medical image analysis often pose the challenging task of aligning dense, non-rigid and multi-modal images. However, optical sequences may also present illumination variations and noise. The above problems can be addressed by an invariant similarity measure, such as mutual information. However, in a variational setting convex formulations are generally recommended ...
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Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملMulti-modal Image Registration Using Polynomial Expansion and Mutual Information
The use of polynomial expansion in image registration has previously been shown to be beneficial due to fast convergence and high accuracy. However, earlier work has only been for mono-modal image registration. In this work, it is shown how polynomial expansion and mutual information can be linked to achieve multi-modal image registration. The proposed method is evaluated using MRI data and sho...
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ژورنال
عنوان ژورنال: Image Analysis & Stereology
سال: 2012
ISSN: 1854-5165,1580-3139
DOI: 10.5566/ias.v31.p43-53