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Super resolution reconstruction for quantitative imaging

Abstract:

We developed a super-resolution reconstruction methodology for diffusion and relaxometry MRI. It allows to improve the trade-off between acquisition time, spatial resolution and SNR. From a set of low resolution multi-slice images, each with a different (diffusion or relaxometry) contrast, an image is reconstructed with a much higher spatial resolution compared to a 3D image that is directly acquired in the same time frame.

Publications:

D. H. J. Poot, Van Meir, V., and Sijbers, J., “General and Efficient Super-Resolution method for Multi-Slice MRI”, in Medical Image Computing and Computer Assisted Intervention, 2010, vol. 13, no. 1, pp. 615-622.

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G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “High resolution T1 estimation from multiple low resolution magnetic resonance images”, in IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, 2015, vol. 12, pp. 1036-1039.

D. H. J. Poot, Jeurissen, B., Bastiaensen, Y., Veraart, J., Van Hecke, W., Parizel, P. M., and Sijbers, J., “Super-Resolution for Multislice Diffusion Tensor Imaging”, Magnetic Resonance in Medicine, vol. 69, no. 1, pp. 103–113, 2013.

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G. Van Steenkiste, Jeurissen, B., Veraart, J., den Dekker, A. J., Parizel, P. M., Poot, D. H. J., and Sijbers, J., “Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.

G. Van Steenkiste, Hamaide, J., Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Sijbers, J., and Verhoye, M., “Super-resolution structural connectivity and anatomy of the zebra finch brain ”, ISMRM Benelux. 2015.

G. Van Steenkiste, Poot, D. H. J., Jeurissen, B., den Dekker, A. J., Vanhevel, F., Parizel, P. M., and Sijbers, J., “Super-resolution T1 estimation: quantitative high resolution T1 mapping from a set of low resolution T1 weighted images with different slice orientations”, Magnetic Resonance in Medicine, vol. 77, no. 5, pp. 1818–1830, 2017.

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Main researcher(s):

Arjan den Dekker

Quinten Beirinckx

Research Area:

Magnetic Resonance Imaging

Research keywords:

Parameter estimation