Paper Info
Title
New Validation Method for Establishing Correspondence Between Pairs of X-Ray Mammograms
Abstract
Establishing spatial correspondence between features visible in x-ray mammograms obtained at different times has great potential to aid assessment of change in the breast indicative of malignant changes and facilitate their quantification. The literature contains numerous non-rigid registration algorithms developed for this purpose, but quantitative estimation of registration accuracy is limited. In this paper we describe a novel validation method which simulates plausible mammographic compressions of the breast using an MRI derived finite element model. By projecting the resulting known 3D displacements into 2D and simulating x-ray mammograms from these same compressed MR volumes, we can generate convincing images with known 2D displacements with which to validate a registration algorithm. We illustrate this approach by computing the accuracy for a non-rigid registration algorithm applied to mammographic test images generated from three patient MR datasets.
Year
DOI
Venue
2006
10.1109/CVPRW.2006.143
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Keywords
Field
DocType
mr volume,new validation method,registration algorithm,numerous non-rigid registration,x-ray mammograms,simulating x-ray mammograms,patient mr datasets,non-rigid registration algorithm,convincing image,plausible mammographic compression,registration accuracy,finite element model,magnetic resonance imaging,breast cancer,computer vision,testing,finite element methods
Computer vision,Image generation,Pattern recognition,Computer science,Image coding,Finite element method,Artificial intelligence
Conference
Volume
Issue
ISSN
2006
1
2160-7508
ISBN
Citations 
PageRank 
0-7695-2646-2
0
0.34
References 
Authors
13
4
Name
Order
Citations
PageRank
John H. Hipwell124332.58
Christine Tanner2171.97
William R Crum344832.49
David J. Hawkes44262470.26