X-Ray Mammogram Registration: A Novel Validation Method

  • John H. Hipwell
  • Christine Tanner
  • William R. Crum
  • David J. Hawkes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4046)


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 and facilitate its quantification. The literature contains numerous non-rigid registration algorithms developed for this purpose, but quantitative estimation of registration accuracy is limited. We describe a novel validation method which simulates plausible mammographic compressions of the breast using an MRI derived finite element model. Known 3D displacements are projected into 2D and test images simulated from these same compressed MR volumes. In this way 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 mammograms simulated from three patient MR datasets.


Registration Error Registration Algorithm Glandular Tissue Spatial Correspondence Medical Image Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • John H. Hipwell
    • 1
  • Christine Tanner
    • 1
  • William R. Crum
    • 1
  • David J. Hawkes
    • 1
  1. 1.Centre for Medical Image Computing, Malet Place Engineering BuildingUniversity College LondonLondon

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