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Magnetic Resonance Imaging

Magnetic resonance imaging and derived modalities.

Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain

Rats are widely used in experimental neurobiological research, and rat brain atlases are important resources for identifying brain regions in the context of experimental microsurgery, tissue sampling, and neuroimaging, as well as comparison of findings across experiments. Currently, most available rat brain atlases are constructed from histological material derived from single specimens, and provide two-dimensional or threedimensional (3D) outlines of diverse brain regions and fiber tracts.

Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution

B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., “Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution”, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.

Denoising of DKI images: effect on feasibility and accuracy of kurtosis parameters

M. Kudzinava, Rajan, J., and Sijbers, J., “Denoising of DKI images: effect on feasibility and accuracy of kurtosis parameters”, ESMRMB, European Society for Magnetic Resonance in Medicine and Biology, 28th Annual Scientific Meeting. Leipzig, Germany, p. 236, 2011.

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Denoising Magnetic Resonance Images using Fourth Order Complex Diffusion

J. Rajan, Jeurissen, B., Sijbers, J., and Kannan, K., “Denoising Magnetic Resonance Images using Fourth Order Complex Diffusion”, in 13th International Machine Vision and Image Processing Conference, Dublin, Ireland, 2009, pp. 123-127.

Noise measurement from magnitude MRI using local estimates of variance and skewness.

J. Rajan, Poot, D. H. J., Juntu, J., and Sijbers, J., “Noise measurement from magnitude MRI using local estimates of variance and skewness.”, Physics in medicine and biology, vol. 55, no. 16, pp. N441-9, 2010.

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Fiber tracking

Mean Kurtosis: a new potential biomarker for brain tumor grading

S. Van Cauter, Veraart, J., Sijbers, J., Himmelreich, U., Peeters, R. R., Van Gool, S., and Van Hecke, W., “Mean Kurtosis: a new potential biomarker for brain tumor grading”, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.

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Non-Rigid coregistration of diffusion kurtosis data

J. Veraart, Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., “Non-Rigid coregistration of diffusion kurtosis data”, in Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, Rotterdam, the Netherlands, 2010, pp. 392-395.

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Diffusion Tensor Images Upsampling: a Registration-based Approach

Z. Mai, Verhoye, M., Van Der Linden, A., and Sijbers, J., “Diffusion Tensor Images Upsampling: a Registration-based Approach”, in 13th International Machine Vision and Image Processing Conference, Dublin, Ireland, 2009, vol. 13, pp. 36-40.

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Correction of DWI gradient orientations using registration techniques

B. Jeurissen, Naeyaert, M., Leemans, A., and Sijbers, J., “Correction of DWI gradient orientations using registration techniques”, 3rd meeting of the ISMRM Benelux Chapter, Hoeven, The Netherlands. 2011.

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