Abstract
Non-rigid image registration (NIR) is an essential tool for morphologic comparisons in the presence of intra- and inter-individual anatomic variations. Many NIR methods have been developed, but are especially difficult to evaluate since point-wise inter-image correspondence is usually unknown, i.e., there is no “Gold Standard” to evaluate performance. The Non-rigid Image Registration Evaluation Project (NIREP) has been started to develop, establish, maintain, and endorse a standardized set of relevant benchmarks and metrics for performance evaluation of nonrigid image registration algorithms. This paper describes the basic framework of the project.
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References
West, J., Fitzpatrick, J.M., et al.: Comparison and evaluation of retrospective intermodality brain image registration techniques 21, 554–566 (1997)
Hellier, P., Barillot, C., Corouge, L., Gibaud, B., Le Goualher, G., Collins, D.L., Evans, A., Malandain, G., Ayache, N., Christensen, G.E., Johnson, H.J.: Retrospective evaluation of inter-subject brain registration. IEEE Transactions on Medical Imaging 22, 1120–1130 (2003)
Gerig, G., Jomier, M., Chakos, M.: Valmet: A new validation tool for assessing and improving 3d object segmentation. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 516–528. Springer, Heidelberg (2001)
Damasio, H.: Human brain anatomy in computerized images, 2nd edn. Oxford University Press, New York (2005)
Allen, J.S., Damasio, H., Grabowski, T.J.: Normal neuroanatomical variation in the human brain: an MRI-volumetric study. Am. J. Phys. Anthropol. 118, 341–358 (2002)
Allen, J.S., Damasio, H., Grabowski, T.J., Bruss, J., Zhang, W.: Sexual dimorphism and asymmetries in the gray white composition of the human cerebrum. NeuroImage 18, 880–894 (2003)
Frank, R.J., Damasio, H., Grabowski, T.J.: Brainvox: an interactive, multimodel, visualization and analysis system for neuroanatomical imaging. NeuroImage 5, 13–30 (1997)
Grabowski, T.J., Frank, R.J., Szumski, N.R., Brown, C.K., Damasio, H.: Validation of partial tissue segmentation of single-channel magnetic resonance images of the brain. NeuroImage 12, 640–656 (2000)
Christensen, G.E., Johnson, H.J.: Consistent image registration 20, 568–582 (July 2001)
Johnson, H.J., Christensen, G.E.: Consistent landmark and intensity-based image registration 21, 450–461 (2002)
Christensen, G.E., Johnson, H.J.: Invertibility and transitivity analysis for nonrigid image registration. Journal of Electronic Imaging 12, 106–117 (2003)
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Christensen, G.E. et al. (2006). Introduction to the Non-rigid Image Registration Evaluation Project (NIREP). In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds) Biomedical Image Registration. WBIR 2006. Lecture Notes in Computer Science, vol 4057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11784012_16
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DOI: https://doi.org/10.1007/11784012_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35648-6
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