Abstract
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective therapy for drug-resistant Parkinson’s disease (PD). Pre-operative identification of the STN is an important step for this neurosurgical procedure, but is very challenging because of the accuracy necessary to stimulate only a sub-region of the small STN to achieve the maximum therapeutic benefits without serious side effects. Previously, a technique that automatically identified basal ganglia structures was proposed by registering a 3D histological atlas to a subject’s anatomy shown in the T1w MRI image. In this paper, we improve the accuracy of this technique for the segmentation of the STN, substantia nigra (SN), and red nucleus (RN). This is achieved by using additional MRI contrasts (i.e. T2*w and T2w images) that can better visualize these nuclei compared to the sole T1w contrast used previously. Through validation using the silver standard ground truth obtained for 6 subjects (3 healthy and 3 PD), we observe significant improvements for segmenting the STN, SN, and RN with the new technique when compared to the previous method that only uses T1w-T1w inter-subject registration.
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References
Brunenberg, E.J., Platel, B., Hofman, P.A., Ter Haar Romeny, B.M., Visser-Vandewalle, V.: Magnetic resonance imaging techniques for visualization of the subthalamic nucleus. J. Neurosurg. 115(5), 971–984 (2011)
O’Gorman, R.L., Shmueli, K., Ashkan, K., Samuel, M., Lythgoe, D.J., Shahidiani, A., Jarosz, J.: Optimal MRI methods for direct stereotactic targeting of the subthalamic nucleus and globus pallidus. Eur. Radiol. 21(1), 130–136 (2011)
Chakravarty, M.M., Sadikot, A.F., Germann, J., Bertrand, G., Collins, D.L.: Towards a validation of atlas warping techniques. Med. Image Anal. 12(6), 713–726 (2008)
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)
Holmes, C.J., Hoge, R., Collins, L., Woods, R., Toga, A.W., Evans, A.C.: Enhancement of MR images using registration for signal averaging. J. Comput. Assist. Tomogr. 22(2), 324–333 (1998)
Collins, D.L., Evans, A.C.: Animal: Validation and applications of nonlinear registration-based segmentation. Int. J. Pattern Recogn. 11(8), 1271–1294 (1997)
Studholme, C., Hill, D.L.G., Hawkes, D.J.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recogn. 32(1), 71–86 (1999)
Sled, J.G., Zijdenbos, A.P., Evans, A.C.: A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging 17(1), 87–97 (1998)
Nyul, L.G., Udupa, J.K., Zhang, X.: New variants of a method of MRI scale standardization. IEEE Trans. Med. Imaging 19(2), 143–150 (2000)
Coupé, P., Yger, P., Barillot, C.: Fast Non Local Means Denoising for 3D MR Images. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 33–40. Springer, Heidelberg (2006)
Xiao, Y., Beriault, S., Pike, B.G., Collins, D.L.: Multi-contrast multi-echo FLASH MRI for targeting the subthalamic nucleus. Magn. Reson. Imaging (to appear)
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Xiao, Y. et al. (2012). Atlas-Based Segmentation of the Subthalamic Nucleus, Red Nucleus, and Substantia Nigra for Deep Brain Stimulation by Incorporating Multiple MRI Contrasts. In: Abolmaesumi, P., Joskowicz, L., Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2012. Lecture Notes in Computer Science, vol 7330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30618-1_14
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DOI: https://doi.org/10.1007/978-3-642-30618-1_14
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