Abstract
Symptoms of Parkinson’s disease can be relieved through Deep Brain Stimulation. This neurosurgical technique relies on high precision positioning of electrodes in specific areas of the basal ganglia and the thalamus. In order to identify these anatomical targets, which are located deep within the brain, we developed a semi-automated method of image analysis, based on data fusion. Information provided by both anatomical magnetic resonance images and expert knowledge is managed in a common possibilistic frame, using a fuzzy logic approach. More specifically, a graph-based virtual atlas modeling theoretical anatomical knowledge is matched to the image data from each patient, through a research algorithm (or strategy) which simultaneously computes an estimation of the location of every structures, thus assisting the neurosurgeon in defining the optimal target. The method was tested on 10 images, with promising results. Location and segmentation results were statistically assessed, opening perspectives for enhancements.
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Walter, B., Vitek, J.: Surgical treatment for parkinson’s disease. Lancet Neurol. 3, 719–728 (2004)
Talairach, J., David, M., Tournoux, P., Corredor, H., Kvasina, T.: Atlas d’anatomie stéréotaxique. Masson et Cie, Paris (1957)
Schaltenbrand, G., Bailey, P.: Introduction to stereotaxis with an atlas of the human brain, vol. 2. Georg Thieme Verlag, New York (1959)
Lemaire, J.J., Durif, F., Boire, J.Y., Debilly, B., Irthum, B., Chazal, J.: Direct stereotactic mri location in the globus pallidus for chronic stimulation in parkinson’s disease. In: Acta Neurochir (Wien) vol. 141, pp. 759–766 (1999)
Coubes, P., Vayssiere, N., Fertit, H.E., Hemm, S., Cif, L., Kienlen, J., Bonafe, A., Frerebeau, P.: Deep brain stimulation for dystonia: Surgical technique. In: Stereotact Funct. Neurosurg. vol. 78, pp. 183–191 (2002)
Bejjani, B., Dormont, D., Pidoux, B., Yelnik, J., Damier, P., Arnulf, I., Bonnet, A.M., Marsault, C., Agid, Y., Philippon, J., Cornu, P.: Bilateral subthalamic stimulation for parkinson’s disease by using three-dimensional stereotactic mri and electrophysiological guidance. J. Neurosurg. 92, 615–625 (2000)
Lemaire, J., Durif, F., Debilly, B., et al.: Deep brain stimulation in the subthalamic area for severe idiopathic parkinson’s disease: location of plots in the peroperative phase and at the three month follow-up. In: Parkinson’s and related disorders vol. 7 (2001)
Caire, F., Derost, P., Coste, J., Bonny, J.M., Durif, F., Frenoux, E., Villéger, A., Lemaire, J.J.: Stimulation sous-thalamique dans la maladie de parkinson sévère: étude de la localisation des ontacts effectifs. Neurochirurgie. (2005) (in press)
Parent, A.: Basal Ganglia. In: Carpenter’s human neuroanatomy, Williams and Wilkins, Baltimore (1996)
Lemaire, J.J., Caire, F., Bonny, J.M., Kemeny, J., Villéger, A., Chazal, J.: Contribution of 4.7 tesla mri in the analysis of the mri anatomy of the human subthalamic area. In: Acta Neurochirurgica. vol. 8, pp. 906–907 (2004)
Durif, F., Lemaire, J.J., Debilly, B., Dordain, G.: Acute and chronic effects of antero-medial globus pallidus stimulation in parkinson’s disease. J. Neurol. Neuro. Psy. 67, 315–321 (1999)
Barra, V.: Fusion d’images 3d du cerveau: étude de modèles et applications. In: PhD Thesis (Université d’Auvergne, Clermont-Ferrand) (2000)
Barra, V., Lemaire, J.J., Durif, F., Boire, J.Y.: Segmentation of the subthalamic nucleus in mr images using information fusion - a preliminary study for a computer-aided surgery of parkinson’s disease. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, p. 1183. Springer, Heidelberg (2001)
Bloch, I., Colliot, O., Camara, O., Géraud, T.: Fusion of spatial relationships for guiding recognition, example of brain structure recognition in 3d mri. Pattern Recognition Letters 26, 449–457 (2005)
Barra, V., Boire, J.Y.: Tissue segmentation on mr images of the brain by possibilistic clustering on a 3d wavelet representation. Journal of Magnetic Resonance Imaging 11, 267–278 (2000)
Tanimoto, T.: Ibm internal report. Technical report, IBM (1957)
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Villéger, A., Ouchchane, L., Lemaire, JJ., Boire, JY. (2006). Data Fusion and Fuzzy Spatial Relationships for Locating Deep Brain Stimulation Targets in Magnetic Resonance Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_83
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DOI: https://doi.org/10.1007/11864349_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
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