ULTRAHIGH FIELD and ULTRAHIGH RESOLUTION fMRI.
暂无分享,去创建一个
[1] R. Goebel,et al. Mapping the Organization of Axis of Motion Selective Features in Human Area MT Using High-Field fMRI , 2011, PloS one.
[2] Kamil Ugurbil,et al. An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging , 2009, NeuroImage.
[3] Daniel K Sodickson,et al. Approaching Ultimate Intrinsic SNR in a Uniform Spherical Sample with Finite Arrays of Loop Coils. , 2014, Concepts in magnetic resonance. Part B, Magnetic resonance engineering.
[4] S. Vielhaber,et al. Topographical layer imaging as a tool to track neurodegenerative disease spread in M1 , 2020, Nature reviews. Neuroscience.
[5] Steen Moeller,et al. Brain imaging with improved acceleration and SNR at 7 Tesla obtained with 64‐channel receive array , 2019, Magnetic resonance in medicine.
[6] Kamil Ugurbil,et al. What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.
[7] Klaus Scheffler,et al. Signal‐to‐noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 tesla using current receive coil arrays , 2016, Magnetic resonance in medicine.
[8] Steen Moeller,et al. Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.
[9] Essa Yacoub,et al. The impact of ultra-high field MRI on cognitive and computational neuroimaging , 2017, NeuroImage.
[10] Lars Muckli,et al. Laminar fMRI: Applications for cognitive neuroscience , 2017, NeuroImage.
[11] Kâmil Uludag,et al. Linking brain vascular physiology to hemodynamic response in ultra-high field MRI , 2017, NeuroImage.
[12] L. Toth,et al. How accurate is magnetic resonance imaging of brain function? , 2003, Trends in Neurosciences.
[13] Steen Moeller,et al. Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project , 2017, NeuroImage.
[14] Jacob K. White,et al. The ultimate signal‐to‐noise ratio in realistic body models , 2017, Magnetic resonance in medicine.
[15] Kamil Ugurbil,et al. Imaging at ultrahigh magnetic fields: History, challenges, and solutions , 2017, NeuroImage.
[16] K. Uğurbil,et al. A proof-of-concept study for developing integrated two-photon microscopic and magnetic resonance imaging modality at ultrahigh field of 16.4 tesla , 2017, Scientific Reports.
[17] Kamil Ugurbil,et al. Potential and feasibility of parallel MRI at high field , 2006, NMR in biomedicine.
[18] K. Uğurbil,et al. Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation , 2020, NeuroImage.
[19] Donald S. Williams,et al. Tissue specific perfusion imaging using arterial spin labeling , 1994, NMR in biomedicine.
[20] K. Uğurbil,et al. A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T , 2020, ArXiv.
[21] Jonathan R. Polimeni,et al. Laminar (f)MRI: A short history and future prospects , 2019, NeuroImage.
[22] Lawrence L Wald,et al. Massively parallel MRI detector arrays. , 2013, Journal of magnetic resonance.
[23] Rolf Pohmann,et al. Theoretical and experimental evaluation of continuous arterial spin labeling techniques , 2010, Magnetic resonance in medicine.
[24] Cheryl A. Olman,et al. Forging a path to mesoscopic imaging success with ultra-high field functional magnetic resonance imaging , 2020, Philosophical Transactions of the Royal Society B.
[25] Kamil Ugurbil,et al. Magnetic Resonance Imaging at Ultrahigh Fields , 2014, IEEE Transactions on Biomedical Engineering.
[26] J. Pekar,et al. Functional magnetic resonance imaging based on changes in vascular space occupancy , 2003, Magnetic resonance in medicine.
[27] Thomas E. Nichols,et al. Non-white noise in fMRI: Does modelling have an impact? , 2006, NeuroImage.
[28] R. Goebel,et al. Frequency preference and attention effects across cortical depths in the human primary auditory cortex , 2015, Proceedings of the National Academy of Sciences.
[29] F. De Martino,et al. A Paradigm Change in Functional Brain Mapping: Suppressing the Thermal Noise in fMRI , 2020 .
[30] Steen Moeller,et al. Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: Database‐free deep learning for fast imaging , 2018, Magnetic resonance in medicine.
[31] E. Atalar,et al. Ultimate intrinsic signal‐to‐noise ratio in MRI , 1998, Magnetic resonance in medicine.
[32] Kâmil Uludağ,et al. Physiology and Physics of the fMRI Signal , 2015 .
[33] Kâmil Uğurbil,et al. Toward imaging the body at 10.5 tesla , 2017, Magnetic resonance in medicine.
[34] Robin M Heidemann,et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.
[35] Laurentius Huber,et al. Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications , 2018, NeuroImage.
[36] Rainer Goebel,et al. Layer-dependent functional connectivity methods , 2020, Progress in Neurobiology.
[37] P. Boesiger,et al. Electrodynamics and ultimate SNR in parallel MR imaging , 2004, Magnetic resonance in medicine.
[38] J. Polimeni,et al. 96‐Channel receive‐only head coil for 3 Tesla: Design optimization and evaluation , 2009, Magnetic resonance in medicine.
[39] Ravi S. Menon,et al. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[40] Olli Gröhn,et al. MB-SWIFT functional MRI during deep brain stimulation in rats , 2017, NeuroImage.
[41] Jan Sijbers,et al. Denoising of diffusion MRI using random matrix theory , 2016, NeuroImage.
[42] Angel Torrado-Carvajal,et al. In vivo human head MRI at 10.5T: A radiofrequency safety study and preliminary imaging results , 2019, Magnetic resonance in medicine.
[43] Steen Moeller,et al. NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing , 2021, NeuroImage.
[44] P. Boesiger,et al. SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.
[45] Wietske van der Zwaag,et al. Ultra-high field MRI: Advancing systems neuroscience towards mesoscopic human brain function , 2017, NeuroImage.
[46] Jonathan R. Polimeni,et al. Neuroimaging with ultra-high field MRI: Present and future , 2018, NeuroImage.
[47] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[48] Xiaoping Wu,et al. First in‐vivo human imaging at 10.5T: Imaging the body at 447 MHz , 2019, Magnetic resonance in medicine.
[49] R. Turner,et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[50] R. Goebel,et al. Cortical Depth Dependent Functional Responses in Humans at 7T: Improved Specificity with 3D GRASE , 2013, PloS one.
[51] Essa Yacoub,et al. High-field fMRI unveils orientation columns in humans , 2008, Proceedings of the National Academy of Sciences.
[52] Ravi S. Menon. Postacquisition suppression of large‐vessel BOLD signals in high‐resolution fMRI , 2002, Magnetic resonance in medicine.
[53] Dae-Shik Kim,et al. Localized cerebral blood flow response at submillimeter columnar resolution , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[54] G. Pawlik,et al. Quantitative capillary topography and blood flow in the cerebral cortex of cats: an in vivo microscopic study , 1981, Brain Research.
[55] Lawrence L. Wald,et al. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters , 2005, NeuroImage.
[56] Alexis Amadon,et al. Kerker Effect in Ultrahigh-Field Magnetic Resonance Imaging , 2018, Physical Review X.
[57] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[58] Lawrence L. Wald,et al. Three dimensional echo-planar imaging at 7 Tesla , 2010, NeuroImage.
[59] Steen Moeller,et al. Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data , 2019, Magnetic resonance in medicine.
[60] X. Hu,et al. Reduction of signal fluctuation in functional MRI using navigator echoes , 1994, Magnetic resonance in medicine.