Super resolution reconstruction for quantitative imaging

Abstract: 

We developed a super-resolution reconstruction methodology for diffusion and relaxometry MRI. It allows to improved 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, V. Van Meir, and J. Sijbers, "General and Efficient Super-Resolution method for Multi-Slice MRI", Medical Image Computing and Computer Assisted Intervention, vol. 13, issue 1, pp. 615-622, 09/2010. Download paper (229.84 KB)
G. Van Steenkiste, D. H. J. Poot, B. Jeurissen, A J. den Dekker, and J. Sijbers, "High resolution T1 estimation from multiple low resolution magnetic resonance images", IEEE International Symposium on Biomedical Imaging (ISBI): From nano to macro, vol. 12, pp. 1036-1039, 2015.