Optimal experimental design for filter exchange imaging: Apparent exchange rate measurements in the healthy brain and in intracranial tumors
暂无分享,去创建一个
Markus Nilsson | Filip Szczepankiewicz | Elisabet Englund | Freddy Ståhlberg | Björn Lampinen | Danielle van Westen | Pia C Sundgren | Jimmy Lätt | F. Ståhlberg | F. Szczepankiewicz | J. Lätt | M. Nilsson | D. van Westen | Björn Lampinen | E. Englund | Pia C Sundgren
[1] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[2] J. Kärger. Zur Bestimmung der Diffusion in einem Zweibereichsystem mit Hilfe von gepulsten Feldgradienten , 1969 .
[3] J. Kärger,et al. Diffiisionsuntersuchung von Wasser an 13X- sowie an 4A- und 5A-Zeolithen mit Hilfe der Methode der gepulsten Feldgradienten , 1971 .
[4] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.
[5] P. Lachenbruch. Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .
[6] C. R. Rao,et al. Information and the Accuracy Attainable in the Estimation of Statistical Parameters , 1992 .
[7] M. Eis,et al. Correction of Gradient Crosstalk and Optimization of Measurement Parameters in Diffusion MR Imaging , 1995 .
[8] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[9] A. Mackay,et al. In vivo measurement of T2 distributions and water contents in normal human brain , 1997, Magnetic resonance in medicine.
[10] A. Szafer,et al. An analytical model of restricted diffusion in bovine optic nerve , 1997, Magnetic resonance in medicine.
[11] S. Holland,et al. NMR relaxation times in the human brain at 3.0 tesla , 1999, Journal of magnetic resonance imaging : JMRI.
[12] K. Zou,et al. Multi‐component apparent diffusion coefficients in human brain: Relationship to spin‐lattice relaxation , 2000, Magnetic resonance in medicine.
[13] J. M. Taylor,et al. Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. , 2000, Journal of the National Cancer Institute.
[14] H. Lodish,et al. Osmosis, Water Channels, and the Regulation of Cell Volume , 2000 .
[15] D. Le Bihan,et al. Water diffusion compartmentation and anisotropy at high b values in the human brain , 2000, Magnetic resonance in medicine.
[16] S. Maier,et al. Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging. , 2001, Radiology.
[17] J. Neil,et al. Importance of intracellular water apparent diffusion to the measurement of membrane permeability. , 2002, Biophysical journal.
[18] M. Papadopoulos,et al. Aquaporin-4 expression is increased in oedematous human brain tumours , 2002, Journal of neurology, neurosurgery, and psychiatry.
[19] M. Yasui,et al. Aquaporin Water Channels , 2004 .
[20] C. Moon,et al. Involvement of aquaporins in colorectal carcinogenesis , 2003, Oncogene.
[21] Denis Le Bihan,et al. Looking into the functional architecture of the brain with diffusion MRI , 2003, Nature Reviews Neuroscience.
[22] P. Callaghan,et al. Diffusion-diffusion correlation and exchange as a signature for local order and dynamics. , 2004, The Journal of chemical physics.
[23] C. Meyer,et al. Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[24] Yaniv Assaf,et al. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain , 2005, NeuroImage.
[25] C. Moon,et al. Aquaporin 1 is overexpressed in lung cancer and stimulates NIH-3T3 cell proliferation and anchorage-independent growth. , 2006, The American journal of pathology.
[26] M. Papadopoulos,et al. Aquaporins and cell migration , 2008, Pflügers Archiv - European Journal of Physiology.
[27] D. Louis. WHO classification of tumours of the central nervous system , 2007 .
[28] B. Scheithauer,et al. The 2007 WHO classification of tumours of the central nervous system , 2007, Acta Neuropathologica.
[29] P. Basser,et al. Axcaliber: A method for measuring axon diameter distribution from diffusion MRI , 2008, Magnetic resonance in medicine.
[30] M. Papadopoulos,et al. Water movements in the brain: role of aquaporins , 2008, Trends in Neurosciences.
[31] D. Alexander. A general framework for experiment design in diffusion MRI and its application in measuring direct tissue‐microstructure features , 2008, Magnetic resonance in medicine.
[32] P. Choyke,et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.
[33] F. Ståhlberg,et al. Diffusion‐weighted MRI measurements on stroke patients reveal water‐exchange mechanisms in sub‐acute ischaemic lesions , 2009, NMR in biomedicine.
[34] M. Nilsson,et al. Filter-exchange PGSE NMR determination of cell membrane permeability. , 2009, Journal of magnetic resonance.
[35] T. Secomb,et al. Assessment of the effects of cellular tissue properties on ADC measurements by numerical simulation of water diffusion , 2009, Magnetic resonance in medicine.
[36] F. Ståhlberg,et al. Evaluating the accuracy and precision of a two-compartment Kärger model using Monte Carlo simulations. , 2010, Journal of magnetic resonance.
[37] Geert Molenberghs,et al. Random Effects Models for Longitudinal Data , 2010 .
[38] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[39] A. Obenaus,et al. Brain Water Mobility Decreases after Astrocytic Aquaporin-4 Inhibition Using RNA Interference , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[40] F. Ståhlberg,et al. Apparent exchange rate mapping with diffusion MRI , 2011, Magnetic resonance in medicine.
[41] Daniel C. Alexander,et al. NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.
[42] F. Ståhlberg,et al. Protocol optimization of the double pulsed field gradient (d-PFG) based filter-exchange imaging (FEXI) sequence enables comparative studies of the diffusional apparent exchange rate (AXR) at reduced scan times and smaller group sizes , 2012 .
[43] L. Reuss. Water Transport Across Cell Membranes , 2012 .
[44] F. Ståhlberg,et al. Noninvasive mapping of water diffusional exchange in the human brain using filter‐exchange imaging , 2013, Magnetic resonance in medicine.
[45] Julien Cohen-Adad,et al. The Human Connectome Project and beyond: Initial applications of 300mT/m gradients , 2013, NeuroImage.
[46] F. Ståhlberg,et al. The role of tissue microstructure and water exchange in biophysical modelling of diffusion in white matter , 2013, Magnetic Resonance Materials in Physics, Biology and Medicine.
[47] Kawin Setsompop,et al. Ultra-fast MRI of the human brain with simultaneous multi-slice imaging. , 2013, Journal of magnetic resonance.
[48] Alexander Leemans,et al. Variability in diffusion kurtosis imaging: Impact on study design, statistical power and interpretation , 2013, NeuroImage.
[49] C. Sønderby,et al. Apparent exchange rate imaging in anisotropic systems , 2014, Magnetic resonance in medicine.
[50] Stefan Klein,et al. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease , 2013, Front. Neuroinform..
[51] F. Szczepankiewicz,et al. Extrapolation-Based References Improve Motion and Eddy-Current Correction of High B-Value DWI Data: Application in Parkinson’s Disease Dementia , 2015, PloS one.
[52] Carl-Fredrik Westin,et al. Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors , 2015, NeuroImage.
[53] L. Saal,et al. Apparent exchange rate for breast cancer characterization , 2016, NMR in biomedicine.
[54] Claudia Biermann,et al. Mathematical Methods Of Statistics , 2016 .