A Microfabricated Phantom for Quantitative MR Perfusion Measurements: Validation of Singular Value Decomposition Deconvolution Method
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[1] Sandro Rossitti,et al. Vascular Dimensions of the Cerebral Arteries Follow the Principle of Minimum Work , 1993, Stroke.
[2] Fernando Calamante,et al. Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics , 2003, NeuroImage.
[3] B. Rosen,et al. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis , 1996, Magnetic resonance in medicine.
[4] Fernando Calamante,et al. Contrast agent concentration measurements affecting quantification of bolus‐tracking perfusion MRI , 2007, Magnetic resonance in medicine.
[5] L. K. Hansen,et al. Defining a local arterial input function for perfusion MRI using independent component analysis , 2004, Magnetic resonance in medicine.
[6] D G Gadian,et al. Quantification of Perfusion Using Bolus Tracking Magnetic Resonance Imaging in Stroke: Assumptions, Limitations, and Potential Implications for Clinical Use , 2002, Stroke.
[7] S. Kety,et al. THE DETERMINATION OF CEREBRAL BLOOD FLOW IN MAN BY THE USE OF NITROUS OXIDE IN LOW CONCENTRATIONS , 1945 .
[8] J. Ruminski,et al. Parametric imaging in dynamic susceptibility contrast MRI-phantom and in vivo studies , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[9] C B Grandin,et al. Whole brain quantitative CBF, CBV, and MTT measurements using MRI bolus tracking: Implementation and application to data acquired from hyperacute stroke patients , 2000, Journal of magnetic resonance imaging : JMRI.
[10] M. Wintermark,et al. Comparative overview of brain perfusion imaging techniques. , 2005, Stroke.
[11] M. Viergever,et al. Maximum likelihood estimation of cerebral blood flow in dynamic susceptibility contrast MRI , 1999, Magnetic resonance in medicine.
[12] D. Le Bihan,et al. Viability Thresholds of Ischemic Penumbra of Hyperacute Stroke Defined by Perfusion-Weighted MRI and Apparent Diffusion Coefficient , 2001, Stroke.
[13] K. Zierler,et al. On the theory of the indicator-dilution method for measurement of blood flow and volume. , 1954, Journal of applied physiology.
[14] B. Rosen,et al. Modeling Cerebral Blood Flow and Flow Heterogeneity from Magnetic Resonance Residue Data , 1999, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[15] Robert W Barber,et al. Biomimetic design of microfluidic manifolds based on a generalised Murray's law. , 2006, Lab on a chip.
[16] I. Kanno,et al. Tracer Delay Correction of Cerebral Blood Flow with Dynamic Susceptibility Contrast-Enhanced MRI , 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[17] Jan-Ray Liao,et al. Spoiled gradient‐echo as an arterial spin tagging technique for quick evaluation of local perfusion , 2002, Journal of magnetic resonance imaging : JMRI.
[18] Céline Fouard,et al. A Novel Three‐Dimensional Computer‐Assisted Method for a Quantitative Study of Microvascular Networks of the Human Cerebral Cortex , 2006, Microcirculation.
[19] B. Rosen,et al. Tracer arrival timing‐insensitive technique for estimating flow in MR perfusion‐weighted imaging using singular value decomposition with a block‐circulant deconvolution matrix , 2003, Magnetic resonance in medicine.
[20] Karl J. Friston,et al. Bayesian estimation of cerebral perfusion using a physiological model of microvasculature , 2006, NeuroImage.
[21] Jianfeng Gao,et al. Cerebral blood flow measurement by dynamic contrast MRI using singular value decomposition with an adaptive threshold , 1999, Magnetic resonance in medicine.
[22] M. Kuroda,et al. Composition of MRI phantom equivalent to human tissues. , 2005, Medical physics.
[23] P. Sandercock,et al. Comparison of 10 Different Magnetic Resonance Perfusion Imaging Processing Methods in Acute Ischemic Stroke: Effect on Lesion Size, Proportion of Patients With Diffusion/Perfusion Mismatch, Clinical Scores, and Radiologic Outcomes , 2007, Stroke.
[24] C D Murray,et al. The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume. , 1926, Proceedings of the National Academy of Sciences of the United States of America.
[25] D. Gadian,et al. Delay and dispersion effects in dynamic susceptibility contrast MRI: Simulations using singular value decomposition , 2000, Magnetic resonance in medicine.
[26] D. Gadian,et al. Quantification of bolus‐tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization , 2003, Magnetic resonance in medicine.
[27] Richard Frayne,et al. Reexamining the quantification of perfusion MRI data in the presence of bolus dispersion , 2007, Journal of magnetic resonance imaging : JMRI.
[28] G. Pawlik,et al. Quantitative capillary topography and blood flow in the cerebral cortex of cats: an in vivo microscopic study , 1981, Brain Research.