Abstract
In this paper, we present a validation study for volume preserving non-rigid registration of 3D contrast-enhanced magnetic resonance mammograms. This study allows for the first time to assess the effectiveness of a volume preserving constraint to improve registration accuracy in this context. The validation is based on the simulation of physically plausible breast deformations with biomechanical breast models (BBMs) employing finite element methods. We constructed BBMs for four patients with four different deformation scenarios each. These deformations were applied to the post-contrast image to simulate patient motion occurring between pre- and post-contrast image acquisition. The original pre-contrast images were registered to the corresponding BBM-deformed post-contrast images. We assessed the accuracy of two optimisation schemes of a non-rigid registration algorithm. The first solely aims to improve the similarity of the images while the second includes the minimisation of volume changes as another objective. We observed reductions in residual registration error at every resolution when constraining the registration to preserve volume. Within the contrast enhancing lesion, the best results were obtained with a control point spacing of 20mm, resulting in target registration errors below 0.5mm on average. This study forms an important milestone in making the non-rigid registration framework applicable for clinical routine use.
Chapter PDF
Similar content being viewed by others
References
C. H. Blood and B. R. Zetter, “Tumor Interactions with the Vasculature: Angiogensis and Tumor Metastasis,” Biochimica et Biophysica Acta, vol. 1032, pp. 89–118, 1990.
P. W. Vaupel, Blood Flow, Oxygenation, Tissue pH Distribution, and Bioenergetic Status of Tumors. Berlin, Germany: Ernst Schering Research Foundation, 1st ed., 1994.
M. D. Schnall and D. M. Ikeda, “Lesion Diagnosis Working Group Report,” Journal of Magnetic Resonance Imaging, vol. 10, pp. 982–990, 1999.
D. Rueckert, L. I. Sonoda, C. Hayes, D. L. Hill, M. O. Leach, and D. J. Hawkes, “Non-rigid Registration using Free-Form Deformations: Application to Breast MR Images,” IEEE Transactions on Medical Imaging, vol. 7, pp. 1–10, August 1999.
E. R. E. Denton, L. I. Sonoda, D. Rueckert, S. C. Rankin, C. Hayes, M. O. Leach, and D. J. Hawkes, “Comparison and Evaluation of Rigid, Affine, and Nonrigid Registration of Breast MR Images,” Journal of Computer Assisted Tomography, vol. 5, pp. 800–805, May 1999.
C. Tanner, J. A. Schnabel, D. Chung, M. J. Clarkson, D. Rueckert, D. L. G. Hill, and D. J. Hawkes, “Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhanced MR Breast Images,” in Medical Image Computing and Computer-Assisted Intervention, Pittsburgh, USA, pp. 327–337, 2000.
D. Terzopoulos and K. Waters, “Analysis and Synthesis of Facial Image Sequences using Physical and Anatomical Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, pp. 569–579, 1993.
P. J. Edwards, D. L. G. Hill, J. A. Little, and D. J. Hawkes, “A Three-Component Deformation Model for Image-Guided Surgery,” Medical Image Analysis, vol. 2, pp. 355–367, 1998.
T. Rohlfing and C. R. Maurer, “Intensity-Based Non-rigid Registration Using Adaptive Multilevel Free-Form Deformation with an Incompressibility Constraint,” in Medical Image Computing and Computer-Assisted Intervention, Utrecht, Netherlands, pp. 111–119, 2001.
J. A. Schnabel, C. Tanner, A. D. Castellano-Smith, M. O. Leach, C. Hayes, A. Degenhard, R. Hose, D. L. G. Hill, and D. J. Hawkes, “Validation of Non-Rigid Registration using Finite Element Methods,” in Information Processing in Medical Imaging, Davis, CA, USA, pp. 344–357, 2001.
J. A. Schnabel, D. Rueckert, M. Quist, J. M. Blackall, A. Castellano-Smith, T. Hartkens, G. P. Penney, W. A. Hall, C. L. Truwit, F A. Gerritsen, D. L. G. Hill, and D. J. Hawkes, “A Generic Framework for Non-Rigid Registration based on Non-Uniform Multi-Level Free-Form Deformations,” in Medical Image Computing and Computer-Assisted Intervention, Utrecht, Netherlands, pp. 573–581, 2001.
J. A. Schnabel, C. Tanner, A. D. Castellano-Smith, A. Degenhard, C. Hayes, M. O. Leach, D. R. Hose, and D. J. H. D. L. G. Hill, “Finite element based validation of non-rigid registration using single-and multi-level free-form deformations: Application to contrast-enhanced MR mammography,” in Proceedings SPIE Medical Imaging 2002, Image Processing, San Diego, CA, pp. 550–581, 2002.
W. Schroeder, K. Martin, and B. Lorensen, The Visualization Toolkit. New Jersey, USA: Prentice Hall PTR, 2nd ed., 1998.
ANSYS. http://www.ansys.com.
A. Sarvazyan, D. Goukassian, E. Maevsky, and G. Oranskaja, “Elastic Imaging as a new Modality of Medical Imaging for Cancer Detection,” in Proceedings of the International Workshop on Interaction of Ultrasound with Biological Media, Valenciennes, France, pp. 69–81, 1994.
T. A. Krouskop, T. M. Wheeler, F. Kallel, B. S. Garra, and T. Hall, “Elastic Moduli of Breast and Prostate Tissues Under Compression,” Ultrasonic Imaging, vol. 20, pp. 260–274, 1998.
C. Tanner, A. Degenhard, J. A. Schnabel, A. Castellano-Smith, C. Hayes, L. I. Sonoda, M. O. Leach, D. R. Hose, D. L. G. Hill, and D. J. Hawkes, “A Comparison of Biomechanical Breast Models: A Case Study,” in Proceedings SPIE Medical Imaging 2002, Image Processing, San Diego, CA, pp. 1807–1818, 2002.
J. M. Fitzpatrick, “Detecting failure, assessing success,” in D. L. G. Hill and D. J. Hawkes, eds., Medical Image Registration. CRC Press, 2001. Hajnal et al. [19], ch. I-6, pp. 117–139.
J. V. Hajnal, D. L. G. Hill and D. J. Hawkes, eds., Medical Image Registration. CRC Press, 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tanner, C. et al. (2002). Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45786-0_38
Download citation
DOI: https://doi.org/10.1007/3-540-45786-0_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44224-0
Online ISBN: 978-3-540-45786-2
eBook Packages: Springer Book Archive
Keywords
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.
