Abstract
In this paper, we propose an improved B-spline registration algorithm for feature fusion of images from different neuroimaging techniques. The current B-spline registration method generally consists of several steps: initial curve estimation, similarity estimation between the warped image and fixed image, gradient computation, optimization and curve re-estimation. We improved the accuracy and efficiency of gradient computation by introducing a map-reduce framework which partitions the volume into multiple subregions and each subregion can be processed independently and efficiently. Experimental results show that our method achieves higher accuracy than the traditional registration algorithm and computational burden is released for large scale neuroimages.
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Dickerson, B.C., Goncharova, I., Sullivan, M., Forchetti, C., Wilson, R., Bennett, D., Beckett, L., et al.: MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimers disease. Neurobiology of Aging 22(5), 747–754 (2001)
Sexton, C.E., Mackay, C.E., Lonie, J.A., Bastin, M.E., Terrière, E., O’Carroll, R.E., Ebmeier, K.P.: MRI correlates of episodic memory in Alzheimer’s disease, mild cognitive impairment, and healthy aging. Psychiatry Research: Neuroimaging 184(1), 57–62 (2010)
Kalus, P., Slotboom, J., Gallinat, J., Federspiel, A., Gralla, J., Remonda, L., Strik, W.K., Schroth, G., Kiefer, C.: New evidence for involvement of the entorhinal region in schizophrenia: a combined MRI volumetric and DTI study. Neuroimage 24(4), 1122–1129 (2005)
Jahanshad, N., Lee, A.D., Barysheva, M., McMahon, K.L., de Zubicaray, G.I., Martin, N.G., Wright, M.J., Toga, A.W., Thompson, P.M.: Genetic influences on brain asymmetry: a DTI study of 374 twins and siblings. Neuroimage 52(2), 455–469 (2010)
Kanaan, R.A., Kim, J.S., Kaufmann, W.E., Pearlson, G.D., Barker, G.J., McGuire, P.K.: Diffusion tensor imaging in schizophrenia. Biological Psychiatry 58(12), 921–929 (2005)
Chang, H., Fitzpatrick, J.M.: Geometrical image transformation to compensate for MRI distortions. In: Medical Imaging 1990, Newport Beach, Feb 4–9, 1990. International Society for Optics and Photonics, pp. 116–127 (1990)
Yushkevich, P.A., Avants, B.B., Das, S.R., Pluta, J., Altinay, M., Craige, C., Initiative, A.D.N., et al.: Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data. Neuroimage 50(2), 434–445 (2010)
Carmichael, O.T., Aizenstein, H.A., Davis, S.W., Becker, J.T., Thompson, P.M., Meltzer, C.C., Liu, Y.: Atlas-based hippocampus segmentation in Alzheimer’s disease and mild cognitive impairment. Neuroimage 27(4), 979–990 (2005)
Kubicki, M., Park, H., Westin, C., Nestor, P., Mulkern, R., Maier, S., Niznikiewicz, M., Connor, E., Levitt, J., Frumin, M., et al.: DTI and MTR abnormalities in schizophrenia: analysis of white matter integrity. Neuroimage 26(4), 1109–1118 (2005)
Shackleford, J.A., Kandasamy, N., Sharp, G.: On developing B-spline registration algorithms for multi-core processors. Physics in Medicine and Biology 55(21), 6329 (2010)
Shackleford, J., Kandasamy, N., Sharp, G.: Accelerating MI-based B-spline registration using CUDA enabled GPUs. In: Int. Conf. Med. Image Comput. Comput. Assist. Interv. (2012)
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© 2015 Springer International Publishing Switzerland
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Jiang, P., Shackleford, J.A. (2015). B-Spline Registration of Neuroimaging Modalites with Map-Reduce Framework. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_28
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DOI: https://doi.org/10.1007/978-3-319-23344-4_28
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