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:
“Comparison of MR acquisition strategies for super-resolution reconstruction using the Bayesian Mean Squared Error”, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
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“Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping”, Computerized Medical Imaging and Graphics, vol. 100, no. 102071, pp. 1-16, 2022. Download paper (15.42 MB) Download supplementary material (1.35 MB)
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“Rotated or shifted sets of multi-slice MR images for super-resolution reconstruction? A Bayesian answer”, Magn Reson Mater Phy (ESMRMB), vol. 34. pp. S56-S57, 2021.
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“Super resolution reconstruction from differently oriented diffusion tensor data sets”, 5th meeting of the ISMRM Benelux Chapter. Rotterdam, The Netherlands, 2013.
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“Super resolution reconstruction from differently oriented diffusion tensor data sets”, ISMRM, 21st Scientific Meeting and Exhibition. Salt Lake City, USA, p. 3186, 2013.
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“Super-Resolution for Multislice Diffusion Tensor Imaging”, Magnetic Resonance in Medicine, vol. 69, no. 1, pp. 103–113, 2013. Download paper (1.04 MB)
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“Super-resolution for spherical deconvolution of multi-shell diffusion MRI data”, Proc Intl Soc Mag Reson Med 26. p. 36, 2018.
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“Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging”, Investigative Radiology, vol. 55, no. 8, pp. 481-493, 2020.
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“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.
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“Super-resolution reconstruction of diffusion parameters from multi-oriented diffusion weighted images”, 6th meeting of the ISMRM Benelux chapter. Maastricht, The Netherlands, 2014.
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“Super-resolution reconstruction of diffusion parameters from multi-oriented diffusion weighted images”, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, 2014.
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“Super-resolution Reconstruction of Knee MRI”, Proc Intl Soc Mag Reson Med 26. p. 5184, 2018.
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“Super-resolution strategies for single-PLD pseudo-continuous ASL”, 12th Annual Meeting of the ISMRM Benelux Chapter. Arnhem, The Netherlands, 2020.
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“Super-resolution structural connectivity and anatomy of the zebra finch brain ”, ISMRM Benelux. 2015.
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“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. Download paper (3.3 MB)
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“Super-resolution T1 mapping with integrated motion compensation in a joint maximum likelihood framework”, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology (ESMRMB), Rotterdam, The Netherlands, vol. 32 (Suppl. 1). Magn Reson Mater Phy, 2019.
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