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Magnetic Resonance Imaging

Magnetic resonance imaging and derived modalities.

Magnetic resonance imaging and spectroscopy reveal differential hippocampal changes in anhedonic and resilient subtypes of the chronic mild stress rat model

R. Delgado Y Palacios, Adriaan, C., Kim, H., Verhoye, M., Poot, D. H. J., Jouke, D., Van Audekerke, J., Benveniste, H., Sijbers, J., Wiborg, O., and Van Der Linden, A., “Magnetic resonance imaging and spectroscopy reveal differential hippocampal changes in anhedonic and resilient subtypes of the chronic mild stress rat model”, Biological psychiatry, vol. 70, pp. 449-457, 2011.

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

J. Veraart, Leergaard, T. B., Antonsen, B. T., Van Hecke, W., Blockx, I., Jeurissen, B., Jiang, Y., Van Der Linden, A., Johnson, A. G., Verhoye, M., and Sijbers, J., “Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain”, NeuroImage, vol. 58, no. 4, pp. 975-983, 2011.

Maximum likelihood estimation based denoising of magnetic resonance images using restricted local neighborhoods

J. Rajan, Jeurissen, B., Verhoye, M., Van Audekerke, J., and Sijbers, J., “Maximum likelihood estimation based denoising of magnetic resonance images using restricted local neighborhoods”, Physics in Medicine and Biology, vol. 56, pp. 5221-5234, 2011.

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The effect of template selection on diffusion tensor voxel based analysis results

W. Van Hecke, Leemans, A., Sage, C. A., Veraart, J., Sijbers, J., and Sunaert, S., “The effect of template selection on diffusion tensor voxel based analysis results”, NeuroImage, vol. 55, pp. 566-573, 2011.

A complementary DTI-histological study in a model of Huntingtons disease

N. Van Camp, Blockx, I., Camon, L., de Vera, N., Verhoye, M., Veraart, J., Van Hecke, W., Martinez, E., Guadelupe, S., Sijbers, J., Planas, A., and Van Der Linden, A., “A complementary DTI-histological study in a model of Huntingtons disease”, Neurobiology of Aging, vol. 33, pp. 945-959, 2012.

Constrained Maximum Likelihood Estimation of the Diffusion Kurtosis Tensor Using a Rician Noise Model

J. Veraart, Van Hecke, W., and Sijbers, J., “Constrained Maximum Likelihood Estimation of the Diffusion Kurtosis Tensor Using a Rician Noise Model”, Magnetic Resonance in Medicine, vol. 66, pp. 678-686, 2011.

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Bias field reduction by localized Lloyd-Max quantization

Z. Mai, Hanel, R., Batenburg, K. J., Verhoye, M., Scheunders, P., and Sijbers, J., “Bias field reduction by localized Lloyd-Max quantization”, Magnetic Resonance Imaging, vol. 29, no. 4, pp. 536-545, 2011.

Diffusion tensor image up-sampling: a registration-based approach

Z. Mai, Verhoye, M., Van Der Linden, A., and Sijbers, J., “Diffusion tensor image up-sampling: a registration-based approach”, Magnetic resonance Imaging, vol. 28, pp. 1497-1506, 2010.

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More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging

J. Veraart, Poot, D. H. J., Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., “More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging”, Magnetic Resonance in Medicine, vol. 65, pp. 138-145, 2011.

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Correlation of cognitive dysfunction and diffusion tensor MRI measures in patients with mild and moderate multiple sclerosis

W. Van Hecke, Nagels, G., Leemans, A., Vandervliet, E., Sijbers, J., and Parizel, P. M., “Correlation of cognitive dysfunction and diffusion tensor MRI measures in patients with mild and moderate multiple sclerosis”, Journal of magnetic resonance imaging, vol. 31, pp. 1492-1498, 2010.

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