Zusammenfassung
We introduce self-similarity measures in a spline-based nonrigid registration method. We applied our method to register multimodal 3D polarized light imaging and blockface image data of human and rat brain sections. Quantitative evaluations demonstrate that using self-similarity measures increases the accuracy and robustness compared to a traditional mutual information measure.
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.
Literatur
Axer M, Gräßel D, Kleiner M, et al. High-resolution fiber tract reconstruction in the human brain by means of three-dimensional polarized light imaging. Front Neuroinf. 2011;5(34).
Ali S, Rohr K, Axer M, et al. Elastic registration of high-resolution 3D PLI data of the human brain. Proc ISBI. 2017; p. 1151–1155.
Palm C, Axer M, Gräßel D, et al. Towards ultra-high resolution fibre tract mapping of the human brain - registration of polarised light images and reorientation of fibre vectors. Frontiers Hum Neurosci. 2010;4(9).
Schubert N, Axer M, Schober M, et al. 3D Reconstructed Cyto-, Muscarinic M2 Receptor, and Fiber Architecture of the Rat Brain Registered to the Waxholm Space Atlas. Front Neuroanatom. 2016;10(51).
Heinrich MP, Jenkinson M, Bhushan M, et al. MIND: modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Analysis. 2012;16(7):1423–1435.
Drulea M, Nedevschi S. Motion Estimation Using the Correlation Transform. IEEE Trans Image Process. 2013;22(8):3260–3270.
Ali S, Daul C, Galbrun E, et al. Illumination invariant optical flow using neighborhood descriptors. Comput Vis Image Underst. 2016;145:95–110.
Buades A, Coll B, Morel JM. A Non-Local Algorithm for Image Denoising. Proc IEEE CVPR. 2005; p. 60–65.
Shechtman E, Irani M. Matching local self-similarities across images and videos. Proc IEEE CVPR. 2007; p. 1–8.
Biesdorf A, Wörz S, Kaiser HJ, et al. Hybrid Spline-Based Multimodal Registration using Local Measures for Joint Entropy and Mutual Information. In: Proc MICCAI; 2009. p. 607–615.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
Ali, S., Lin, D., Axer, M., Rohr, K. (2018). Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_28
Download citation
DOI: https://doi.org/10.1007/978-3-662-56537-7_28
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-56536-0
Online ISBN: 978-3-662-56537-7
eBook Packages: Computer Science and Engineering (German Language)