A New Image Registration Technique with Free Boundary Constraints: Application to Mammography

Authors:
Frederic Richard;Laurent D. Cohen
Affiliations:
-;-
Venue:
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Year:
2002

Citing 6
Cited 4

Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching

Computer Vision, Graphics, and Image Processing
Automated detection of breast tumors using the asymmetry approach

Computers and Biomedical Research
Image Registration, Optical Flow and Local Rigidity

Journal of Mathematical Imaging and Vision
Finite Element Method for Elliptic Problems

Finite Element Method for Elliptic Problems
Improved intelligent water drops algorithm using adaptive schema

International Journal of Bio-Inspired Computation

Nonrigid image registration: guest editors' introduction

Computer Vision and Image Understanding - Special issue on nonrigid image registration
A new image registration technique with free boundary constraints: application to mammography

Computer Vision and Image Understanding - Special issue on nonrigid image registration
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration

Journal of Mathematical Imaging and Vision
A variational PDE based level set method for a simultaneous segmentation and non-rigid registration

MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new image-matching mathematical model is presented for the mammogram registration. In a variational framework, an energy minimization problem is formulated and a multigrid resolution algorithm is designed. The model focuses on the matching of regions of interest. It also combines several constraints which are both intensity and segmentation based. A new feature of our model is combining region matching and segmentation by formulation of the energy minimization problem with free boundary conditions. Moreover, the energy has a new registration constraint. The performances of models with and without free boundary are compared on a simulated mammogram pair. It is shown that the new model with free boundary is more robust to initialization inaccuracies than the one without. The interest of the new model for the real mammogram registration is also illustrated.