Distortion correction of single-shot EPI enabled by deep-learning

Andersson, 2003, How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging, Neuroimage, 20, 870, 10.1016/S1053-8119(03)00336-7

Bhushan, 2015, Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization, Neuroimage, 115, 269, 10.1016/j.neuroimage.2015.03.050

Bhushan, 2014, Improved B0 -distortion correction in diffusion MRI using interlaced q-space sampling and constrained reconstruction, Magn. Reson. Med., 72, 1218, 10.1002/mrm.25026

Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo‐planar mri, Magn. Reson. Med., 34, 537, 10.1002/mrm.1910340409

Cai, 2008, SPROM – an efficient program for NMR/MRI simulations of inter- and intra-molecular multiple quantum coherences, Comptes. Rendus. Physique., 9, 119, 10.1016/j.crhy.2007.11.007

Chollet, François, 2015. Keras (https://github.com/fchollet/keras). GitHub repository. Keras.

Chung, 2011, An improved PSF mapping method for EPI distortion correction in human brain at ultra high field (7T), MAGMA, 24, 179, 10.1007/s10334-011-0251-1

Dattesh, 2019

Dong, 2018

Dong, 2018

Dong, 2019, Tilted-CAIPI for highly accelerated distortion-free EPI with point spread function (PSF) encoding, Magn. Reson. Med., 81, 377, 10.1002/mrm.27413

Fan, 2016, MGH-USC human connectome project datasets with ultra-high b-value diffusion MRI, Neuroimage, 124, 1108, 10.1016/j.neuroimage.2015.08.075

Farzaneh, 1990, Analysis of T2 limitations and off-resonance effects on spatial resolution and artifacts in echo-planar imaging, Magn. Reson. Med., 14, 123, 10.1002/mrm.1910140112

Gong, 2018, Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI, J. Magn. Reson. Imaging, 48, 330, 10.1002/jmri.25970

Griswold, 2002, Generalized autocalibrating partially parallel acquisitions (GRAPPA), Magn. Reson. Med., 47, 1202, 10.1002/mrm.10171

Holdsworth, 2008, Readout-segmented EPI for rapid high resolution diffusion imaging at 3T, Eur. J. Radiol., 65, 36, 10.1016/j.ejrad.2007.09.016

In, 2017, High-resolution distortion-free diffusion imaging using hybrid spin-warp and echo-planar PSF-encoding approach, Neuroimage, 148, 20, 10.1016/j.neuroimage.2017.01.008

In, 2012, Highly accelerated PSF-mapping for EPI distortion correction with improved fidelity, MAGMA, 25, 183, 10.1007/s10334-011-0275-6

Jeong, 2013, High‐resolution human diffusion tensor imaging using 2‐D navigated multishot SENSE EPI at 7 T, Magn. Reson. Med., 69, 793, 10.1002/mrm.24320

Jezzard, 1995, Correction for geometric distortion in echo planar images from B0 field variations, Magn. Reson. Med., 34, 65, 10.1002/mrm.1910340111

Kingma, D.P., Ba, J., 2014. Adam: a method for stochastic optimization. arXiv e-prints.

Liao, 2018, Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network, Comput. Biol. Med., 100, 230, 10.1016/j.compbiomed.2018.07.010

Lu, 2014, TV+TV2regularization with nonconvex sparseness-inducing penalty for image restoration, Math. Problems Eng., 2014, 1

Paul, 2009, Implementation and application of PSF-based EPI distortion correction to high field animal imaging, Int. J. Biomed. Imaging, 2009, 10.1155/2009/946271

Pruessmann, 2001, Advances in sensitivity encoding with arbitrary k-space trajectories, Magn. Reson. Med., 46, 638, 10.1002/mrm.1241

Pruessmann, 1999, SENSE: sensitivity encoding for fast MRI, Magn. Reson. Med., 42, 952, 10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S

Robson, 1997, Measurement of the point spread function in MRI using constant time imaging, Magn. Reson. Med., 38, 733, 10.1002/mrm.1910380509

Ronneberger, 2015, U-net: convolutional networks for biomedical image segmentation, 234

Samsonov, 2004, POCSENSE: pOCS-based reconstruction for sensitivity encoded magnetic resonance imaging, Magn. Reson. Med., 52, 1397, 10.1002/mrm.20285

Tuch, 2004, Q-ball imaging, Magn. Reson. Med., 52, 1358, 10.1002/mrm.20279

Wang, 2005, PROPELLER EPI: an MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions, Magn. Reson. Med., 54, 1232, 10.1002/mrm.20677

Wang, 2004, Image quality assessment: from error visibility to structural similarity, IEEE Trans. Image Process., 13, 600, 10.1109/TIP.2003.819861

Warach, 1995, Acute human stroke studied by whole brain echo planar diffusion‐weighted magnetic resonance imaging, Ann. Neurol., 37, 231, 10.1002/ana.410370214

Wedeen, 2008, Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers, Neuroimage, 41, 1267, 10.1016/j.neuroimage.2008.03.036

Wells, 1996, Multi-modal volume registration by maximization of mutual information, Med. Image Anal., 1, 35, 10.1016/S1361-8415(01)80004-9

Yoon, 2018, Quantitative susceptibility mapping using deep neural network: qSMnet, Neuroimage, 179, 199, 10.1016/j.neuroimage.2018.06.030

Zaitsev, 2004, Point spread function mapping with parallel imaging techniques and high acceleration factors: fast, robust, and flexible method for echo-planar imaging distortion correction, Magn. Reson. Med., 52, 1156, 10.1002/mrm.20261

Zeng, 2002, Image distortion correction in EPI: comparison of field mapping with point spread function mapping, Magn. Reson. Med., 48, 137, 10.1002/mrm.10200

Zhao, 2017, Loss functions for image restoration with neural networks, IEEE Trans. Comput. Imaging, 3, 47, 10.1109/TCI.2016.2644865

Zhu, 2018, Image reconstruction by domain-transform manifold learning, Nature, 555, 487, 10.1038/nature25988