Zusammenfassung
Brain shift, the change in configuration of the brain after opening the dura mater, is a key problem in neuronavigation. We present an approach to co-register intra-operative microscope images with preoperative MRI data to adapt and optimize intra-operative neuronavigation. The tools are a robust classification of sulci on MRI extracted cortical surfaces, guided user marking of most prominent sulci on a microscope image, and the actual variational registration method with a fidelity energy for 3D deformations of the cortical surface combined with a higher order, linear elastica type prior energy. Furthermore, the actual registration is validated on an artificial testbed and on real data of a neuro clinical patient.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Literatur
Clarkson MJ, Rueckert D, Hill DLG, et al. Using photo-consistency to register 2D optical images of the human face to a 3D surface model. IEEE Trans Pattern Anal Mach Intell. 2001;23(11):1266–80.
Bauer S, Berkels B, Ettl S, et al. Marker-less reconstruction of dense 4-D surface motion fields using active laser triangulation from sparse measurements for respiratory motion management. Proc MICCAI. 2012;7510:414–21.
Dalal SS, Edwards E, Kirsch HE, et al. Localization of neurosurgically implanted electrodes via photograph–MRI–radiograph coregistration. J Neurosci Methods. 2008;174(1):106–15.
Wang A, Mirsattari SM, Parrent AG, et al. Fusion and visualization of intraoperative cortical images with preoperative models for epilepsy surgical planning and guidance. Comput Aided Surg. 2011;16(4):149–60.
Reinges MHT, Nguyen HH, Krings T, et al. Course of brain shift during microsurgical resection of supratentorial cerebral lesions: limits of conventional neuronavigation. Acta Neurochir (Wien). 2004;146(4):369–77.
Fischla B, Serenob MI, Dalea AM. Cortical Surface-Based Analysis: II: Inflation, Flattening, and a Surface-Based Coordinate System. Neuroimage. 1999;9(2):195–207.
Clarenz U, Rumpf M, Telea A. Robust feature detection and local classification for surfaces based on moment analysis. IEEE Trans Vis Comput Graph. 2004;10(5):516–24.
Berkels B, Kotowski M, Rumpf M, et al. Sulci detection in photos of the human cortex based on learned discriminative dictionaries. Lect Notes Computer Sci. 2011.
Modersitzki J. Numerical Methods for Image Registration. Oxford University Press; 2004.
Kuhnt D, Bauer MH, Nimsky C. Brain shift compensation and neurosurgical image fusion using intraoperative MRI: current status and future challenges. Crit Rev Biomed Eng. 2012;40:175–85.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Berkels, B., Cabrilo, I., Haller, S., Rumpf, M., Schaller, C. (2013). Co-Registration of Intra-Operative Photographs and Pre-Operative MR Images. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-36480-8_23
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36479-2
Online ISBN: 978-3-642-36480-8
eBook Packages: Computer Science and Engineering (German Language)