Abstract
Deep brain stimulation (DBS) is a surgical treatment involving the implantation of permanent electrodes connected to an implanted pulse generator, which sends electrical impulses to specific nuclei of the brain for treatment of movement and, more recently, of neurobehavioral disorders. A number of computer assisted surgery (CAS) systems are currently being developed to guide surgeons at various stages of DBS therapy. As these adjuncts become mature and ready for clinical application, their evaluation, in terms of clinical impact and ergonomic features, becomes a necessity. The goal of this paper is to provide an evaluation of the utility of the DBS planning system we have developed. We study how the automatically generated plans are used and modified by the end-users. The proposed criteria include the evaluation of the rigid registrations between the MR-T1 and T2 to the patient CT, the selection of the anterior and posterior commissures (AC-PC) and the target points. For each of these criteria, we check if the automatic plan was modified and, if so, by what degree. Our results show that the registrations were not modified in 95% of the cases; the AC and PC selections were modified in average by only 0.83mm and the sub-thalamic nucleus (STN) targets by 1.04mm.
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References
Rohde, G.K., Aldroubi, A., Dawant, B.M.: The adaptive bases algorithm for intensity-based non rigid image registration. IEEE Trans. on Medical Imag. 22(11), 1470–1479 (2003)
Rohlfing, T., Maurer, C.J.: Multi-Classifier framework for atlas-based image segmentation. Paper read at IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington D.C., USA (2004)
Chakravarty, M.M., Bertrand, G., Hodge, C.P., Sadikot, A.F., Collins, D.L.: The Creation of a Brain Atlas for Image guided Neurosurgery Using Serial Histological Data. Neuroimage 30(2), 359–376 (2006)
Finnis, K.W., Starreveld, Y.P., Parrent, A.G., Sadikot, A.F., Peters, T.M.: Three dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgery. IEEE Trans. on Medical Imaging 22(11), 93–104 (2003)
Guo, T., Finnis, K.W., Parrent, A.G., Peters, T.M.: Development and application of functional databases for planning deep-brain neurosurgical procedures. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 835–842. Springer, Heidelberg (2005)
Warfield, S.K., Zou, K.H., Wells, W.M.: Simultaneous Truth and Performance Level Estimation (STAPLE): An algorithm for the validation of image segmentation. IEEE Trans. on Medical Imaging, 903–921 (2004)
Yelnik, J., Bardinet, E., Dormont, D., Malandain, G., Ourselin, S., Tandé, D., Karachi, C., Ayache, N., Cornu, P., Agid, Y.: A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data. Neuroimage 34, 618–638 (2007)
Bardinet, E., Bhattacharjee, M., Dormont, D., Pidoux, B., Malandain, G., Schüpbach, M., Ayache, N., Cornu, P., Agid, Y., Yelnik, J.: A three-dimensional histological atlas of the human basal ganglia. II. Atlas deformation strategy and evaluation in deep brain stimulation for Parkinson disease. J. Neurosurg. 110, 208–219 (2009)
D’Haese, P.-F., Cetinkaya, E., Konrad, P.E., Kao, C., Dawant, B.M.: Computer-Aided Placement of Deep Brain Stimulators: From Planning to Intraoperative Guidance. IEEE Trans. on Medical Imaging, 1469–1478 (2005)
Nowinski, W.L., Belov, D., Benabid, A.L.: An Algorithm for Rapid Calculation of a Probabilistic Functional Atlas of Subcortical Structures from Electrophysiological Data Collected during Functional Neurosurgery Procedures. Neuroimage 18, 143–155 (2003)
Pallavaram, S., Dawant, B.M., Koyama, T., Yu, H., Neimat, J.S., Konrad, P.E., D’Haese, P.-F.: Validation of a fully automatic method for the routine selection of the anterior and posterior commissures in MR images. Journal of Stereotact. Funct. Neurosurg. 87, 148–154 (2009)
D’Haese, P.-F., Pallavaram, S., Niermann, K., Spooner, J., Kao, C., Konrad, P.E., Dawant, B.M.: Electrophysiological atlas based fully automatic selection of DBS target points: a multiple atlases approach. In: MICCAI (Medical Image Computing and Computer Assisted Intervention), Palm Springs, California, USA (2005)
Pallavaram, S., Yu, H., Spooner, J., D’Haese, P.-F., Bodenheimer, B., Konrad, P.E., Dawant, B.M.: Inter-surgeon variability in the selection of anterior and posterior commissures and its potential effects on target localization. Journal of Stereotact. Funct. Neurosurg. 86, 113–119 (2008), doi:10.1159/000116215
Castro, F.J., Pollo, C., Cuisenaire, O., Villemure, J.-G., Thiran, J.-P.: Validation of experts versus atlas-based and automatic registration methods for subthalamic nucleus targeting on MRI. International Journal of Computer Assisted Radiology and Surgery 1(1), 5–12 (2006)
Balachandran, R., Mitchell, J.E., Dawant, B.M., Fitzpatrick, J.M.: Accuracy Evaluation of microTargeting Platforms for Deep-Brain Stimulation Using Virtual Targets. IEEE Transactions on Biomedical Engineering 56, 37–44 (2009) [PMID: 19224717]
D’Haese, P.-F., Pallavaram, S., Konrad, P.E., Neimat, J.S., Fitzpatrick, J.M., Dawant, B.M.: Clinical accuracy of a customized stereotactic platform for deep-brain stimulation after accounting for brain shift. Journal of Stereotac. Funct. Neurosurg. 88, 81–87 (2010) [PMC Journal - In Process]
Studholme, C., Hill, D.L.G., Hawkes, D.J.: Automated 3-D Registration of MR and CT Images of the Head. Medical Image Analysis 1(2), 163–175 (1996)
Pallavaram, S., Dawant, B.M., Remple, M.S., Neimat, J.S., Kao, C., Konrad, P.E., D’Haese, P.-F.: Effect of brain shift on the creation of functional atlases for deep brain stimulation surgery. Int. J. CARS (2009), doi:10.1007/s11548-009-0391-1
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D’Haese, PF. et al. (2010). Early Clinical Evaluation of a Computer Assisted Planning System for Deep Brain Surgeries: 1 Year of Clinical Assistance. In: Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2010. Lecture Notes in Computer Science, vol 6135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13711-2_18
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DOI: https://doi.org/10.1007/978-3-642-13711-2_18
Publisher Name: Springer, Berlin, Heidelberg
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