Abstract
Functional neurosurgery for Parkinson’s disease is based on the stereotactic introduction of electrodes in a small, deeply located, nucleus of the brain. This nucleus is targeted on pre-operative stereotactic MR acquisitions. The procedure is time-consuming and can lead to the development of a pneumocephalus (presence of air in the intracanial cavity) because of CSF leak. This pneumocephalus leads to a brain shift which can yield a significative deformation of the entire brain and thus cause potential errors in the pre-operatively determined position of the stereotactic targets. In this paper, we conduct an a posteriori validation of the pre-operative planning, by quantifying brain pneumocephalus from the registration of pre and immediate post-operative MR acquisitions.
Chapter PDF
References
L. G. Brown. A Survey of Image Registration Techniques. ACM Computing Surveys, 24(4):325–276, 12 1992.
P. Cachier and X. Pennec. 3D Non-Rigid Registration by Gradient Descent on a Gaussian-Windowed Similarity Measure using Convolutions. In Proc. of MMBIA’ 00, LNCS 1935, pp. 182–189, June 2000.
G. E. Christensen, R. D. Rabitt, and M. I. Miller. Deformable Templates Using Large Deformation Kinematics. IEEE TIP, 5(10):1435–1447, October 1996.
N. Hata, A. Nabavi, S. Warfield, W. Wells, R. Kikinis, and F.A. Jolesz. A volumetric optical flow method for measurement of brain deformation from intraoperative magnetic resonance images. In Proc. of MICCAI’99, LNCS 1679, September 1999.
P. Hellier, C. Barillot, E. Mmin, and P. Prez. Medical Image Registration with Robust Multigrid Techniques. In Proc. of MICCAI’99, LNCS 1679, pp. 680–687, September 1999.
D.L.G. Hill, C.R. Maurer, A.J. Martin, S. Sabanathan, W.A. Hall, D.J. Hawkes, D. Rueckert, and C.L. Truwit. Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging. In Proc. of MICCAI’99, LNCS 1679, pp. 910–919, September 1999.
H. Lester and S. R. Arridge. A Survey of Hierarchical Non-Linear Medical Image Registration. Pattern Recognition, 32:129–149, 1999.
J. B. A. Maintz and M. A. Viergever. A Survey of Medical Image Registration. Medical Image Analysis, 2(1):1–36, 1998.
S. Ourselin, A. Roche, G. Subsol, X. Pennec, and N. Ayache. Reconstructing a 3D Structure from Serial Histological Sections. IVC, 19(1–2):25–31, January 2001.
A. Roche, G. Malandain, and N. Ayache. Unifying Maximum Likelihood Approaches in Medical Image Registration. Int. J.of Imaging Systems and Technology, 11:71–80, 2000.
O.M. Skrinjar and J.S. Duncan. Real Time 3D Brain Shift Compensation. In Proc. of IPMI’99, LNCS 1613, pp. 42–55, June 1999.
C. Studholme, E. Novotny, I.G. Zubal, and J.S. Duncan. Estimating Tissue Deformation between Functional Images Induced by Intracranial Electrode Implantation Using Anatomical MRI. NeuroImage, 13:561–576, 2001.
R. Szeliski. Bayesian Modeling of Uncertainty in Low-Level Vision. Int. J.of Comp. Vision, 5(3):271–301, December 1990.
J.-P. Thirion. Image matching as a diffusion process: an analogy with Maxwell’s demons. Medical Image Analysis, 2(3):243–260, 1998.
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
Bardinet, É., Cathier, P., Roche, A., Ayache, N., Dormont, D. (2002). A Posteriori Validation of Pre-operative Planning in Functional Neurosurgery by Quantification of Brain Pneumocephalus. 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_40
Download citation
DOI: https://doi.org/10.1007/3-540-45786-0_40
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