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 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Crum, W.R., et al.: Anisotropic Multiscale Fluid Registration: Evaluation in Magnetic Resonance Breast Imaging. Phys. Med. Biol. 50, 5153–5174 (2005)
ANSYS Inc., 275 Technology Drive, Canonsburg, PA 5317, USA (2002), http://www.ansys.com
Pathmanathan, P., Gavaghan, D., Whiteley, J., Brady, M., Nash, M., Nielsen, P., Rajagopal, V.: Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 217–224. Springer, Heidelberg (2004)
Tanner, C., Degenhard, A., Schnabel, J.A., Castellano-Smith, A.D., Hayes, C., Sonoda, L.I., Leach, M.O., Hose, D.R., Hill, D.L.G., Hawkes, D.J.: Comparison of Biomechanical Breast Models: a Case Study. In: Medical Imaging 2002: Image Processing, vol. 1-3, vol. 4684, pp. 1807–1818 (2002)
Tanner, C., Schnabel, J.A., Leach, M.O., Hose, D.R., Hill, D.L.G., Hawkes, D.J.: Factors Influencing the Accuracy of Biomechanical Breast Models. Medical Phys. (in Press)
Krouskop, T.A., Wheeler, T.M., Kallel, F., Garra, B.S., Hall, T.: Elastic Moduli of Breast and Prostate Tissues Under Compression. Ultrasonic Imaging 20, 260–274 (1998)
Wellman, P.S.: Tactile Imaging. PhD thesis, Harvard University (1999)
Azar, F.S., Metaxas, D.N., Schnall, M.D.: A Finite Model of the Breast for Predicting Mechanical Deformations during Biopsy Procedure. In: Proc. MMBIA 2000, pp. 38–45 (2000)
Samani, A., Bishop, J., Yaffe, M.J., Plewes, D.B.: Biomechanical 3D Finite Element Modeling of the Human Breast Using MRI Data. IEEE Trans. Med. Imag. 20(4), 271–279 (2001)
Brown, J., Buckley, D., Coulthard, A., Dixon, A.K.: Magnetic Resonance Imaging Screening in Women at Genetic Risk of Breast Cancer: Imaging and Analysis Protocol for the UK Multicentre Study. Magnetic Resonance Imaging 18, 765–776 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hipwell, J.H., Tanner, C., Crum, W.R., Hawkes, D.J. (2006). X-Ray Mammogram Registration: A Novel Validation Method. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_28
Download citation
DOI: https://doi.org/10.1007/11783237_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
eBook Packages: Computer ScienceComputer Science (R0)