Co-Registration of Function and Anatomy in Frameless Stereotaxy by Contour Fitting

We investigated a co-registration algorithm using a contour-fitting procedure to integrate functional data from magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) for frameless stereotaxy. In fMRI the shape of the head was reconstructed from anatomical images, in MEG it was scanned using an electromagnetic sensor position indicator. Functional information was transferred to the 3D-MR image set used for frameless stereotaxy by fitting the digitized (MEG) and reconstructed head shape (fMRI) to the 3D-MR images. The mean residual error of the contour fit was 2.3 mm for the MEG and 1.3 mm for the fMRI registration. According to computer simulations, the achievable transformation error is 0.75 and 0.5 mm, respectively. This method enables independent recording of functional and anatomical measurements with a co-registration accuracy better than 2 mm.

[1]  C. Pelizzari,et al.  Retrospective geometric correlation of MR, CT, and PET images. , 1988, Radiology.

[2]  Benjamin H. Brinkmann,et al.  Scalp-Recorded EEG Localization in MRI Volume Data , 1998, Brain Topography.

[3]  J C de Munck,et al.  Registration of MR and SPECT without using external fiducial markers. , 1998, Physics in medicine and biology.

[4]  C. Pelizzari,et al.  Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain , 1989, Journal of computer assisted tomography.

[5]  Paul A. Viola,et al.  Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..

[6]  C. Nimsky,et al.  Intraoperative magnetic resonance imaging with the magnetom open scanner: concepts, neurosurgical indications, and procedures: a preliminary report. , 1998, Neurosurgery.

[7]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[8]  D. Dormont,et al.  Registration in neurosurgery and neuroradiotherapy applications. , 1995, Journal of image guided surgery.

[9]  Jérôme Declerck,et al.  Automatic registration and alignment on a template of cardiac stress and rest reoriented SPECT images , 1997, IEEE Transactions on Medical Imaging.

[10]  Balraj Naren,et al.  Medical Image Registration , 2022 .

[11]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

[12]  T. Turkington,et al.  Accuracy of registration of PET, SPECT and MR images of a brain phantom. , 1993, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[13]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[14]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  C. Nimsky,et al.  Integration of functional magnetic resonance imaging supported by magnetoencephalography in functional neuronavigation , 1999, Neurosurgery.

[16]  Isabelle Bloch,et al.  Fast Nonsupervised 3D Registration of PET and MR Images of the Brain , 1994, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[17]  R Bucholz,et al.  Automated rejection of contaminated surface measurements for improved surface registration in image guided neurosurgery. , 2000, Studies in health technology and informatics.

[18]  C. Nimsky,et al.  Functional neuronavigation with magnetoencephalography: outcome in 50 patients with lesions around the motor cortex. , 1999, Journal of neurosurgery.

[19]  Robert J. Maciunas,et al.  Registration of head CT images to physical space using a weighted combination of points and surfaces [image-guided surgery] , 1998, IEEE Transactions on Medical Imaging.

[20]  C. Nimsky,et al.  Der Nutzen von Magnetoenzephalographie und funktioneller Neuronavigation bei der Planung und Operation von Hirntumoren , 2002, Der Nervenarzt.

[21]  C H Lücking,et al.  Estimation of the accuracy of a surface matching technique for registration of EEG and MRI data. , 1998, Electroencephalography and clinical neurophysiology.

[22]  Guy Marchal,et al.  Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[23]  Guy Marchal,et al.  Automated multi-moda lity image registration based on information theory , 1995 .

[24]  Gunilla Borgefors,et al.  Distance transformations in digital images , 1986, Comput. Vis. Graph. Image Process..

[25]  J. Mazziotta,et al.  MRI‐PET Registration with Automated Algorithm , 1993, Journal of computer assisted tomography.

[26]  K D Singh,et al.  Evaluation of MRI-MEG/EEG co-registration strategies using Monte Carlo simulation. , 1997, Electroencephalography and clinical neurophysiology.