Task-Optimal Registration Cost Functions

Authors:
B. T. Yeo;Mert Sabuncu;Polina Golland;Bruce Fischl
Affiliations:
Computer Science and Artificial Intelligence Laboratory, MIT, USA;Computer Science and Artificial Intelligence Laboratory, MIT, USA;Computer Science and Artificial Intelligence Laboratory, MIT, USA;Athinoula A. Martinos Center for Biomedical Imaging, MGH/HMS, USA and Computer Science and Artificial Intelligence Laboratory, MIT, USA
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Year:
2009

Citing 7
Cited 1

A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation

CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Spherical Demons: Fast Surface Registration

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
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
Incorporating statistical measures of anatomical variability in atlas-to-subject registration for conformal brain radiotherapy

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Probabilistic brain atlas encoding using bayesian inference

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A log-euclidean framework for statistics on diffeomorphisms

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A unified information-theoretic approach to groupwise non-rigid registration and model building

IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging

Evaluating volumetric brain registration performance using structural connectivity information

MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a framework for learning the parameters of registration cost functions --- such as the tradeoff between the regularization and image similiarity term --- with respect to a specific task. Assuming the existence of labeled training data, we specialize the framework for the task of localizing hidden labels via image registration. We learn the parameters of the weighted sum of squared differences (wSSD) image similarity term that are optimal for the localization of Brodmann areas (BAs) in a new subject based on cortical geometry. We demonstrate state-of-the-art localization of V1, V2, BA44 and BA45.