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Magnetic Resonance Imaging

Magnetic resonance imaging and derived modalities.

White matter microstructural organization of interhemispheric pathways predicts different stages of bimanual coordination learning in young and older adults

H. Zivari Adab, Chalavi, S., Beets, I., Gooijers, J., Leunissen, I., Cheval, B., Collier, Q., Sijbers, J., Jeurissen, B., Swinnen, S. P., and Boisgontier, M., “White matter microstructural organization of interhemispheric pathways predicts different stages of bimanual coordination learning in young and older adults”, European Journal of Neuroscience , vol. 47, no. 5, pp. 446–459, 2018.

Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach

Q. Collier, Veraart, J., Jeurissen, B., Vanhevel, F., Pullens, P., Parizel, P. M., den Dekker, A. J., and Sijbers, J., “Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach”, Magnetic Resonance in Medicine, vol. 80, no. 2, pp. 802-813, 2018.

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Statistically optimal separation of multi-component MR signals with a Majorize-Minimize approach: application to MWF estimation

G. Ramos-Llordén, den Dekker, A. J., Bladt, P., Cuyt, A., and Sijbers, J., “Statistically optimal separation of multi-component MR signals with a Majorize-Minimize approach: application to MWF estimation”, 34th annual scientific meeting of the ESMRMB. 2017.

Diffusion MRI fiber tractography of the brain

B. Jeurissen, Descoteaux, M., Mori, S., and Leemans, A., “Diffusion MRI fiber tractography of the brain”, NMR in Biomedicine, 2019.

The role of whole-brain diffusion MRI as a tool for studying human in vivo cortical segregation based on a measure of neurite density

F. Calamante, Jeurissen, B., Smith, R. E., Tournier, J. - D., and Connelly, A., “The role of whole-brain diffusion MRI as a tool for studying human in vivo cortical segregation based on a measure of neurite density”, Magnetic Resonance in Medicine, vol. 79, no. 5, pp. 2738–2744, 2018.

Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data

J. Morez, Sijbers, J., and Jeurissen, B., “Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data”, International Society for Magnetic Resonance in Medicine. 2017.

Improved reliability of fiber orientation estimation and graph theoretical analysis of structural brain networks with diffusion MRI

T. Roine, “Improved reliability of fiber orientation estimation and graph theoretical analysis of structural brain networks with diffusion MRI”, University of Antwerp, 2017.

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps

P. V. Sudeep, Palanisamy, P., Kesavadas, C., Sijbers, J., den Dekker, A. J., and Rajan, J., “A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps”, Signal Image and Video Processing, vol. 11, no. 5, pp. 913-920, 2017.

Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging

J. Hamaide, De Groof, G., Van Steenkiste, G., Jeurissen, B., Van Audekerke, J., Naeyaert, M., Van Ruijssevelt, L., Cornil, C., Sijbers, J., Verhoye, M., and Van Der Linden, A., “ Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging”, NeuroImage, vol. 146, pp. 789-803, 2017.

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