A unified information-theoretic approach to groupwise non-rigid registration and model building

Authors:
Carole J. Twining;Tim Cootes;Stephen Marsland;Vladimir Petrovic;Roy Schestowitz;Chris J. Taylor
Affiliations:
Imaging Science and Biomedical Engineering (ISBE), University of Manchester, Manchester, UK;Imaging Science and Biomedical Engineering (ISBE), University of Manchester, Manchester, UK;Institute of Information Sciences, Massey University, Palmerston North, New Zealand;Imaging Science and Biomedical Engineering (ISBE), University of Manchester, Manchester, UK;Imaging Science and Biomedical Engineering (ISBE), University of Manchester, Manchester, UK;Imaging Science and Biomedical Engineering (ISBE), University of Manchester, Manchester, UK
Venue:
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Year:
2005

Citing 4
Cited 17

Active Appearance Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic Complexity in Statistical Inquiry Theory

Stochastic Complexity in Statistical Inquiry Theory
A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A Unified Information-Theoretic Approach to the Correspondence Problem in Image Registration

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03

Discovering Modes of an Image Population through Mixture Modeling

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Generalized L2-Divergence and Its Application to Shape Alignment

IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Task-Optimal Registration Cost Functions

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Comparing pairwise and simultaneous joint registrations of decorrelating interval exams using entropic graphs

IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Shape modeling and analysis with entropy-based particle systems

IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Spatiotemporal normalization for longitudinal analysis of gray matter atrophy in frontotemporal dementia

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Similarity metrics for groupwise non-rigid registration

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Groupwise combined segmentation and registration for atlas construction

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Effects of registration regularization and atlas sharpness on segmentation accuracy

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Robust autonomous model learning from 2D and 3D data sets

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A learning-based approach to evaluate registration success

MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Automatic part selection for groupwise registration

IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Comparing the similarity of statistical shape models using the bhattacharya metric

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration

Pattern Recognition Letters
Image registration by normalized mapping

Neurocomputing
Feature-based alignment of volumetric multi-modal images

IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Bayesian estimation of regularization and atlas building in diffeomorphic image registration

IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging

Quantified Score

Hi-index	0.00

Visualization

Abstract

The non-rigid registration of a group of images shares a common feature with building a model of a group of images: a dense, consistent correspondence across the group. Image registration aims to find the correspondence, while modelling requires it. This paper presents the theoretical framework required to unify these two areas, providing a groupwise registration algorithm, where the inherently groupwise model of the image data becomes an integral part of the registration process. The performance of this algorithm is evaluated by extending the concepts of generalisability and specificity from shape models to image models. This provides an independent metric for comparing registration algorithms of groups of images. Experimental results on MR data of brains for various pairwise and groupwise registration algorithms is presented, and demonstrates the feasibility of the combined registration/modelling framework, as well as providing quantitative evidence for the superiority of groupwise approaches to registration.