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9,862
Multimodality Image Registration by Maximization of Mutual Information
- IEEE TRANSACTIONS ON MEDICAL IMAGING
, 1997
"... A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence or in ..."
Abstract
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Cited by 791 (10 self)
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A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence
2006 MULTIMODALITY IMAGE REGISTRATION
"... Image registration has been a major area of research in the last few decades. It is a complex problem that involves handling large data sets. The relation between the real object and the image is very intricate and encompasses the object’s shape, surface properties, position, and illumination. In th ..."
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. In this thesis, a general solution to this problem was devised that can be applied to multimodality and within-modality image registration. The approach followed here is such that various factors such as illumination do not affect the algorithm. The algorithm considers the intensity of the images as raw data
Flows Of Diffeomorphisms For Multimodal Image Registration
- In: Proceedings of IEEE International Symposium on Biomedical Imaging
, 2002
"... We present a theoretical and computational framework for nonrigid multimodal registration. We proceed by maximization of statistical similarity criteria (global and local) in a variational framework, and use the corresponding gradients to drive a flow of diffeomorphisms allowing large deformations. ..."
Abstract
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Cited by 38 (2 self)
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We present a theoretical and computational framework for nonrigid multimodal registration. We proceed by maximization of statistical similarity criteria (global and local) in a variational framework, and use the corresponding gradients to drive a flow of diffeomorphisms allowing large deformations
Multimodality Image Registration by Gradient Enhanced Generalized Clustering
"... Multimodality image registration is a powerful technique that allows images from different modalities to be compared on a pixel-bypixel basis. Recently, algorithms based on maximizing the mutual information 1 (MI) between voxel intensities of images have gained ..."
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Multimodality image registration is a powerful technique that allows images from different modalities to be compared on a pixel-bypixel basis. Recently, algorithms based on maximizing the mutual information 1 (MI) between voxel intensities of images have gained
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
, 1998
"... Over the last five years, new "voxel-based" approaches have allowed important progress in multimodal image registration, notably due to the increasing use of information-theoretic similarity measures. ..."
Abstract
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Cited by 139 (19 self)
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Over the last five years, new "voxel-based" approaches have allowed important progress in multimodal image registration, notably due to the increasing use of information-theoretic similarity measures.
Multimodality Image Registration by Maximization of Mutual Information
"... In 1997, Maes et al. [5] was one of the first papers to propose mutual information as a similarity metric for performing multimodal image registration. More than ten years later, mutual information is now found at the core of many state-of-the-art image registration algorithms [2]. The aim of this p ..."
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In 1997, Maes et al. [5] was one of the first papers to propose mutual information as a similarity metric for performing multimodal image registration. More than ten years later, mutual information is now found at the core of many state-of-the-art image registration algorithms [2]. The aim
Multimodality Image Registration And Fusion Using Neural Network
, 2000
"... Multimodality image registration and fusion are essential steps in building 3-D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multimodality remote sensing data for the reconstruction of 3-D models of terrain regions. A FeedFo ..."
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Cited by 1 (1 self)
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Multimodality image registration and fusion are essential steps in building 3-D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multimodality remote sensing data for the reconstruction of 3-D models of terrain regions. A Feed
Multimodal Image Registration by Maximization of the Correlation Ratio
, 1998
"... Over the last five years, new "voxel-based" approaches have allowed important leaps in multimodal image registration, notably due to the increasing use of information-theoretic similarity measures. Their wide success has led to the progressive abandon of measures using standard image stati ..."
Abstract
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Cited by 24 (6 self)
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Over the last five years, new "voxel-based" approaches have allowed important leaps in multimodal image registration, notably due to the increasing use of information-theoretic similarity measures. Their wide success has led to the progressive abandon of measures using standard image
ANALYTICAL CLASSIFICATION OF MULTIMODAL IMAGE REGISTRATION BASED ON MEDICAL APPLICATION
"... In the last two decades, computerized image registration has played an important role in medical imaging. One of the important aspects of image registration is multimodal image registration, where is used in many medical applications such as diagnosis, treatment planning, computer guided surgery. No ..."
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In the last two decades, computerized image registration has played an important role in medical imaging. One of the important aspects of image registration is multimodal image registration, where is used in many medical applications such as diagnosis, treatment planning, computer guided surgery
Multimodal image registration using a variational approach
- SIAM J. Sci. Comp
"... Abstract. This paper presents an approach to obtain a deformation which matches two images acquired from different medical imaging modalities. This problem arises in the investigation of human brains. Two distance functionals for the images are proposed with different pros and cons. These functional ..."
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Cited by 5 (1 self)
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multiresolution minimization approach to obtain a suitable initial guess. Finally, we present some experimental results for registration problems of synthetic images and for a real computer tomography (CT)–magnetic resonance imaging (MRI) registration.
Results 1 - 10
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