Model‐based super‐resolution reconstruction of T2 maps

High‐resolution isotropic T2 mapping of the human brain with multi‐echo spin‐echo (MESE) acquisitions is challenging. When using a 2D sequence, the resolution is limited by the slice thickness. If used as a 3D acquisition, specific absorption rate limits are easily exceeded due to the high power deposition of nonselective refocusing pulses. A method to reconstruct 1‐mm3 isotropic T2 maps is proposed based on multiple 2D MESE acquisitions. Data were undersampled (10‐fold) to compensate for the prolonged scan time stemming from the super‐resolution acquisition.

[1]  J. Thiran,et al.  Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis , 2014, Annals of Clinical and Translational Neurology.

[2]  Simon K. Warfield,et al.  Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions , 2012, Medical Image Anal..

[3]  Martin Blaimer,et al.  Fast MR parameter mapping using k‐t principal component analysis , 2011, Magnetic resonance in medicine.

[4]  P. Boesiger,et al.  SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.

[5]  Jens Frahm,et al.  Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRI , 2009, IEEE Transactions on Medical Imaging.

[6]  Örjan Smedby,et al.  Quantitative MRI for analysis of peritumoral edema in malignant gliomas , 2017, PloS one.

[7]  Rudolf Stollberger,et al.  Closed‐form solution for T2 mapping with nonideal refocusing of slice selective CPMG sequences , 2015, Magnetic resonance in medicine.

[8]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[9]  Jens Frahm,et al.  Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function , 2014, IEEE Transactions on Medical Imaging.

[10]  S. Aja‐Fernández,et al.  Influence of noise correlation in multiple‐coil statistical models with sum of squares reconstruction , 2012, Magnetic resonance in medicine.

[11]  Hayit Greenspan,et al.  MRI Inter-slice Reconstruction Using Super-Resolution , 2001, MICCAI.

[12]  Jan Sijbers,et al.  Super‐resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1‐weighted images with different slice orientations , 2017, Magnetic resonance in medicine.

[13]  Martin J. Graves,et al.  MRI from Picture to Proton , 2017 .

[14]  Mariya Doneva,et al.  Compressed sensing reconstruction for magnetic resonance parameter mapping , 2010, Magnetic resonance in medicine.

[15]  Daniel K Sodickson,et al.  Accelerated and motion‐robust in vivo T2 mapping from radially undersampled data using bloch‐simulation‐based iterative reconstruction , 2016, Magnetic resonance in medicine.

[16]  Jean-Philippe Thiran,et al.  Fast model‐based T2 mapping using SAR‐reduced simultaneous multislice excitation , 2019, Magnetic resonance in medicine.

[17]  Jean-Philippe Thiran,et al.  Accelerated T2 mapping combining parallel MRI and model‐based reconstruction: GRAPPATINI , 2018, Journal of magnetic resonance imaging : JMRI.

[18]  Quanzheng Li.  Motion Correction with Propeller MRI: Application to Head Motion , 2004 .

[19]  Klaas Paul Pruessmann,et al.  Realistic Analytical Phantoms for Parallel Magnetic Resonance Imaging , 2012, IEEE Transactions on Medical Imaging.

[20]  Wiro J Niessen,et al.  Super‐resolution methods in MRI: Can they improve the trade‐off between resolution, signal‐to‐noise ratio, and acquisition time? , 2012, Magnetic resonance in medicine.

[21]  Jan Sijbers,et al.  Super‐resolution reconstruction of diffusion parameters from diffusion‐weighted images with different slice orientations , 2016, Magnetic resonance in medicine.

[22]  Nikola Stikov,et al.  Practical medical applications of quantitative MR relaxometry , 2012, Journal of magnetic resonance imaging : JMRI.

[23]  J. Hennig.  Multiecho imaging sequences with low refocusing flip angles , 1988 .

[24]  J. Pipe.  Motion correction with PROPELLER MRI: Application to head motion and free‐breathing cardiac imaging , 1999, Magnetic resonance in medicine.

[25]  Daniel K Sodickson,et al.  Rapid and accurate T2 mapping from multi–spin‐echo data using Bloch‐simulation‐based reconstruction , 2015, Magnetic resonance in medicine.

[26]  H. Gudbjartsson,et al.  The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.

[27]  P. Jakob,et al.  Simple recipe for accurate T2 quantification with multi spin-echo acquisitions , 2014, Magnetic Resonance Materials in Physics, Biology and Medicine.

[28]  Felix Breuer,et al.  Simultaneous multislice (SMS) imaging techniques , 2015, Magnetic resonance in medicine.

[29]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[30]  Yehezkel Yeshurun,et al.  Superresolution in MRI—perhaps sometimes , 2002 .

[31]  J. Pauly,et al.  Accelerating parameter mapping with a locally low rank constraint , 2015, Magnetic resonance in medicine.

[32]  Ali Bilgin,et al.  T2 relaxometry with indirect echo compensation from highly undersampled data , 2013, Magnetic resonance in medicine.

[33]  Robin M Heidemann,et al.  Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.

[34]  Max A. Viergever,et al.  elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.

[35]  N. Alon,et al.  Resolution enhancement in MRI. , 2006, Magnetic resonance imaging.

[36]  Jens Frahm,et al.  Model‐based nonlinear inverse reconstruction for T2 mapping using highly undersampled spin‐echo MRI , 2011, Journal of magnetic resonance imaging : JMRI.

[37]  E. Purcell,et al.  Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments , 1954 .

[38]  J. Duerk,et al.  Magnetic Resonance Fingerprinting , 2013, Nature.

[39]  Xavier Bresson,et al.  An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization , 2015, NeuroImage.

[40]  Onur Afacan,et al.  3D Super‐Resolution Motion‐Corrected MRI: Validation of Fetal Posterior Fossa Measurements , 2016, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[41]  Klaus Scheffler.  Superresolution in MRI? , 2002, Magnetic resonance in medicine.

[42]  A. Alexander,et al.  Accelerating MR parameter mapping using sparsity‐promoting regularization in parametric dimension , 2013, Magnetic resonance in medicine.

[43]  A. Wilman,et al.  Limitations of skipping echoes for exponential T2 fitting , 2018, Journal of magnetic resonance imaging : JMRI.

[44]  Jean-Philippe Thiran,et al.  Fast Quantitative T2 Mapping using Simultaneous-Multi-Slice and Model-Based Reconstruction , 2016 .

[45]  Kim Mouridsen,et al.  Quantitative t2 values predict time from symptom onset in acute stroke patients. , 2009, Stroke.