Results 1 - 10 of 161

Consistent groupwise non-rigid registration for atlas construction

by K. K. Bhatia, J. V. Hajnal, B. K. Puri, A. D. Edwards, D. Rueckert - Proceedings of the IEEE Symposium on Biomedical Imaging (ISBI , 2004
"... This paper describes a groupwise, non-rigid registration algorithm to simultaneously register all subjects in a population to a common reference (or natural) coordinate system, which is defined to be the average of the population. This natural coordinate system is calculated implicitly by constraini ..."
Abstract - Cited by 48 (0 self) - Add to MetaCart
This paper describes a groupwise, non-rigid registration algorithm to simultaneously register all subjects in a population to a common reference (or natural) coordinate system, which is defined to be the average of the population. This natural coordinate system is calculated implicitly

Information-Theoretic Unification of Groupwise Non-Rigid Registration and Model Building.

by Carole J. Twining , T. F. Cootes , S. Marsland, V. Petrovic , R. Schestowitz , C. J. Taylor
"... There is a feature common to both non-rigid registration of a group of images and building a model of a group of images: a dense, consistent correspondence across the group. The former aims to find such a correspondence, whilst the latter requires it. This paper presents the theoretical framework r ..."
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There is a feature common to both non-rigid registration of a group of images and building a model of a group of images: a dense, consistent correspondence across the group. The former aims to find such a correspondence, whilst the latter requires it. This paper presents the theoretical framework

Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models

by Pei Zhang, Dinggang Shen, Timothy F. Cootes
"... Abstract. Groupwise non-rigid registration is an important technique in medical image analysis. Recent studies show that its accuracy can be greatly improved by explicitly providing good initialisation. This is achieved by seeking a sparse correspondence using a parts+geometry model. In this paper w ..."
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Abstract. Groupwise non-rigid registration is an important technique in medical image analysis. Recent studies show that its accuracy can be greatly improved by explicitly providing good initialisation. This is achieved by seeking a sparse correspondence using a parts+geometry model. In this paper

Efficient groupwise non-rigid registration of textured surfaces

by Kirill Sidorov, David Marshall, Stephen Richmond - In CVPR 2011 , 2011
"... • Groupwise non-rigid registration of 2D images [3, 6] is a powerful technique superior to pairwise methods. • Video rate textured 3D surface scans are becoming common in computer vision and are a valuable source of data: ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
• Groupwise non-rigid registration of 2D images [3, 6] is a powerful technique superior to pairwise methods. • Video rate textured 3D surface scans are becoming common in computer vision and are a valuable source of data:

Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building

by T. F. Cootes, S. Marsland, C. J. Twining, K. Smith, C.J. Taylor - In Proc. ECCV , 2004
"... We describe a framework for registering a group of images together using a set of non-linear di#eomorphic warps. The result of the groupwise registration is an implicit definition of dense correspondences between all of the images in a set, which can be used to construct statistical models of sh ..."
Abstract - Cited by 50 (8 self) - Add to MetaCart
We describe a framework for registering a group of images together using a set of non-linear di#eomorphic warps. The result of the groupwise registration is an implicit definition of dense correspondences between all of the images in a set, which can be used to construct statistical models

Temporal Groupwise Registration for Motion Modeling

by Mehmet Yigitsoy, Christian Wachinger, Nassir Navab
"... Abstract. We propose a novel method for the registration of time-resolved image sequences, called Spatio-Temporal grOupwise non-rigid Registration using freeform deforMations (STORM). It is a groupwise registration method, with a group of images being considered simultaneously, in order to prevent b ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract. We propose a novel method for the registration of time-resolved image sequences, called Spatio-Temporal grOupwise non-rigid Registration using freeform deforMations (STORM). It is a groupwise registration method, with a group of images being considered simultaneously, in order to prevent

A Minimum Description Length Objective Function for Groupwise Non-Rigid Image Registration

by Stephen Marslandand, Carole Twining
"... Groupwise non-rigid registration aims to find a dense correspondence across a set of images, so that analogous structures in the images are aligned. For purely automatic inter-subject registration the meaning of correspondence should be derived purely from the available data (i.e., the full set of i ..."
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Groupwise non-rigid registration aims to find a dense correspondence across a set of images, so that analogous structures in the images are aligned. For purely automatic inter-subject registration the meaning of correspondence should be derived purely from the available data (i.e., the full set

A Minimum Description Length Objective Function for Groupwise Non-Rigid Image Registration

by Stephen Marsl, Carole J. Twining B, Chris J. Taylor B
"... Non-rigid registration finds a dense correspondence between a pair of images, so that analogous structures in the two images are aligned. While this is sufficient for atlas comparisons, in order for registration to be an aid to diagnosis, registrations need to be performed on a set of images. In thi ..."
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demonstrate both rigid and non-rigid groupwise registration using our MDL objective function on two-dimensional T1 MR images of the human brain, and show that we obtain a sensible alignment. The extension to the multi-modal case is also discussed. We conclude with a discussion as to how the MDL principle can

Groupwise non-rigid registration: The minimum description length approach

by Carole J. Twining, Stephen Marsl, Chris Taylor - In Proceedings of the British Machine Vision Conference (BMVC , 2004
"... The principled non-rigid registration of groups of images requires a fully groupwise objective function. We consider the problem as one of finding the optimal dense correspondence between the images in the set, where optimality is defined using the Minimum Description Length (MDL) principle, that th ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
The principled non-rigid registration of groups of images requires a fully groupwise objective function. We consider the problem as one of finding the optimal dense correspondence between the images in the set, where optimality is defined using the Minimum Description Length (MDL) principle

An Efficient Stochastic Approach to Groupwise Non-rigid Image Registration

by Kirill A. Sidorov, Stephen Richmond, David Marshall
"... The groupwise approach to non-rigid image registration, solving the dense correspondence problem, has recently been shown to be a useful tool in many applications, including medical imaging, automatic construction of statistical models of appearance and analysis of facial dynamics. Such an approach ..."
Abstract - Cited by 5 (1 self) - Add to MetaCart
The groupwise approach to non-rigid image registration, solving the dense correspondence problem, has recently been shown to be a useful tool in many applications, including medical imaging, automatic construction of statistical models of appearance and analysis of facial dynamics. Such an approach
Results 1 - 10 of 161