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.
Cite
Text
Hipwell et al. "New Validation Method for Establishing Correspondence Between Pairs of X-Ray Mammograms." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.143Markdown
[Hipwell et al. "New Validation Method for Establishing Correspondence Between Pairs of X-Ray Mammograms." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/hipwell2006cvprw-new/) doi:10.1109/CVPRW.2006.143BibTeX
@inproceedings{hipwell2006cvprw-new,
title = {{New Validation Method for Establishing Correspondence Between Pairs of X-Ray Mammograms}},
author = {Hipwell, John H. and Tanner, Christine and Crum, William R. and Hawkes, David J.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2006},
pages = {70},
doi = {10.1109/CVPRW.2006.143},
url = {https://mlanthology.org/cvprw/2006/hipwell2006cvprw-new/}
}