Effect of intravoxel incoherent motion on diffusion parameters in normal brain
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Timothy M. Shepherd | Casey Vieni | Benjamin Ades-aron | Bettina Conti | Eric E. Sigmund | Peter Riviello | Yvonne W. Lui | Dmitry S. Novikov | Els Fieremans | Y. Lui | E. Sigmund | E. Fieremans | D. Novikov | T. Shepherd | B. Ades-aron | C. Vieni | Peter Riviello | Bettina Conti
[1] Stephen M. Smith,et al. Age-related changes in grey and white matter structure throughout adulthood , 2010, NeuroImage.
[2] Stefan Skare,et al. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.
[3] Derek K Jones,et al. Applications of diffusion‐weighted and diffusion tensor MRI to white matter diseases – a review , 2002, NMR in biomedicine.
[4] Carl-Fredrik Westin,et al. Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain , 2017, NeuroImage.
[5] D. Yablonskiy,et al. Quantitative BOLD: Mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: Default state , 2007, Magnetic resonance in medicine.
[6] S. Brockstedt,et al. Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique , 2001, Acta radiologica.
[7] C. Beaulieu,et al. The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.
[8] Alois M. Sprinkart,et al. Evaluation of a Simplified Intravoxel Incoherent Motion (IVIM) Analysis of Diffusion-Weighted Imaging for Prediction of Tumor Size Changes and Imaging Response in Breast Cancer Liver Metastases Undergoing Radioembolization , 2016, Medicine.
[9] H. Bokura,et al. Subcortical silent brain infarction as a risk factor for clinical stroke. , 1997, Stroke.
[10] Luisa Ciobanu,et al. A two-pool model to describe the IVIM cerebral perfusion , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[11] R. Meuli,et al. Perfusion Measurement in Brain Gliomas with Intravoxel Incoherent Motion MRI , 2014, American Journal of Neuroradiology.
[12] T. A. Carpenter,et al. Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain. , 1997, Magnetic resonance imaging.
[13] Reto Meuli,et al. Quantitative measurement of brain perfusion with intravoxel incoherent motion MR imaging. , 2012, Radiology.
[14] Thomas Wisniewski,et al. Clearance systems in the brain—implications for Alzheimer disease , 2015, Nature Reviews Neurology.
[15] Y. Cohen,et al. Non-mono-exponential attenuation of water and N-acetyl aspartate signals due to diffusion in brain tissue. , 1998, Journal of magnetic resonance.
[16] Reto Meuli,et al. Dependence of Brain Intravoxel Incoherent Motion Perfusion Parameters on the Cardiac Cycle , 2013, PloS one.
[17] Bram Stieltjes,et al. Differentiation of Pancreas Carcinoma From Healthy Pancreatic Tissue Using Multiple b-Values: Comparison of Apparent Diffusion Coefficient and Intravoxel Incoherent Motion Derived Parameters , 2009, Investigative radiology.
[18] Christian Federau,et al. Intravoxel incoherent motion MRI as a means to measure in vivo perfusion: A review of the evidence , 2017, NMR in biomedicine.
[19] Jianrong Xu,et al. Stroke assessment with intravoxel incoherent motion diffusion‐weighted MRI , 2016, NMR in biomedicine.
[20] Jeannette M. Perez-Rossello,et al. In vivo assessment of optimal b-value range for perfusion-insensitive apparent diffusion coefficient imaging. , 2012, Medical physics.
[21] P. Grenier,et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. , 1986, Radiology.
[22] P Altmeyer,et al. Capillary blood cell velocity in human skin capillaries located perpendicularly to the skin surface: measured by a new laser Doppler anemometer. , 1996, Microvascular research.
[23] C. D. Murray. THE PHYSIOLOGICAL PRINCIPLE OF MINIMUM WORK APPLIED TO THE ANGLE OF BRANCHING OF ARTERIES , 1926, The Journal of general physiology.
[24] P. LaViolette,et al. Effects of perfusion on diffusion changes in human brain tumors , 2013, Journal of magnetic resonance imaging : JMRI.
[25] J C Gore,et al. A general model of microcirculatory blood flow effects in gradient sensitized MRI. , 1994, Medical physics.
[26] L. Wilkins. Evidence-based guideline: The role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology , 2010, Neurology.
[27] Mark W. Woolrich,et al. Bayesian analysis of neuroimaging data in FSL , 2009, NeuroImage.
[28] Hamid Dehghani,et al. Rapid measurement of intravoxel incoherent motion (IVIM) derived perfusion fraction for clinical magnetic resonance imaging , 2017, Magnetic Resonance Materials in Physics, Biology and Medicine.
[29] D. Le Bihan,et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.
[30] Jelle Veraart,et al. Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline , 2018, NeuroImage.
[31] Georg R. Spinner,et al. Enhancing intravoxel incoherent motion parameter mapping in the brain using k‐b PCA , 2018, NMR in biomedicine.
[32] Richard S. J. Frackowiak,et al. Cerebral blood flow, blood volume and oxygen utilization. Normal values and effect of age. , 1990, Brain : a journal of neurology.
[33] Jan Sijbers,et al. Denoising of diffusion MRI using random matrix theory , 2016, NeuroImage.
[34] K. Vollebregt,et al. Comparison of OPS imaging and conventional capillary microscopy to study the human microcirculation. , 2001, Journal of applied physiology.
[35] V. Hachinski,et al. Cognitive and neurologic findings in subjects with diffuse white matter lucencies on computed tomographic scan (leuko-araiosis). , 1987, Archives of neurology.
[36] G. Pawlik,et al. Quantitative capillary topography and blood flow in the cerebral cortex of cats: an in vivo microscopic study , 1981, Brain Research.
[37] Arthur W. Toga,et al. Perivascular space fluid contributes to diffusion tensor imaging changes in white matter , 2019, NeuroImage.
[38] M. Bronskill,et al. Anisotropy of NMR properties of tissues , 1994, Magnetic resonance in medicine.
[39] Bram Stieltjes,et al. Flow‐compensated intravoxel incoherent motion diffusion imaging , 2015, Magnetic resonance in medicine.
[40] D. Norris,et al. Biexponential diffusion attenuation in various states of brain tissue: Implications for diffusion‐weighted imaging , 1996, Magnetic resonance in medicine.
[41] Alan S. Verkman,et al. Spatial model of convective solute transport in brain extracellular space does not support a “glymphatic” mechanism , 2016, The Journal of general physiology.
[42] C. Pierpaoli,et al. Characterization of and correction for eddy current artifacts in echo planar diffusion imaging , 1998, Magnetic resonance in medicine.
[43] Robert Turner,et al. The capillary network: a link between ivim and classical perfusion , 1992, Magnetic resonance in medicine.
[44] Levkovich YuI,et al. Blood flow velocity in capillaries of brain and muscles and its physiological significance. , 1981, Microvascular research.
[45] Bram Stieltjes,et al. An in vivo verification of the intravoxel incoherent motion effect in diffusion‐weighted imaging of the abdomen , 2010, Magnetic resonance in medicine.
[46] Markus Nilsson,et al. Quantification of microcirculatory parameters by joint analysis of flow‐compensated and non‐flow‐compensated intravoxel incoherent motion (IVIM) data , 2016, NMR in biomedicine.
[47] Bram Stieltjes,et al. Intravoxel Incoherent Motion (IVIM) Diffusion Imaging in Prostate Cancer - What Does It Add? , 2014, Journal of computer assisted tomography.
[48] G. E. Vates,et al. A Paravascular Pathway Facilitates CSF Flow Through the Brain Parenchyma and the Clearance of Interstitial Solutes, Including Amyloid β , 2012, Science Translational Medicine.
[49] Stamatios N. Sotiropoulos,et al. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.
[50] Hui Zhang,et al. Imaging brain microstructure with diffusion MRI: practicality and applications , 2019, NMR in biomedicine.
[51] Bibek Dhital,et al. Gibbs‐ringing artifact removal based on local subvoxel‐shifts , 2015, Magnetic resonance in medicine.
[52] Ivanov Kp,et al. Blood flow velocity in capillaries of brain and muscles and its physiological significance , 1981 .
[53] Cheng Guan Koay,et al. A signal transformational framework for breaking the noise floor and its applications in MRI. , 2009, Journal of magnetic resonance.
[54] D. Le Bihan,et al. Magnetic resonance imaging of perfusion , 1990 .
[55] M. Mindach. Low cerebral blood flow velocity and risk of white matter hyperintensities , 2001, Annals of Neurology.
[56] D. Collins,et al. Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. , 2011, AJR. American journal of roentgenology.
[57] J. Helpern,et al. Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging , 2005, Magnetic resonance in medicine.
[58] Bram Stieltjes,et al. Toward an optimal distribution of b values for intravoxel incoherent motion imaging. , 2011, Magnetic resonance imaging.
[59] C T Moonen,et al. On the precision of diffusion/perfusion imaging by gradient sensitization , 1992, Magnetic resonance in medicine.
[60] Sebastian Vellmer,et al. Isotropically weighted intravoxel incoherent motion brain imaging at 7T. , 2019, Magnetic resonance imaging.
[61] I. Yamada,et al. Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging. , 1999, Radiology.
[62] H. Braak,et al. Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.
[63] J. Cercueil,et al. Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study. , 2012, Radiology.
[64] Henry Brodaty,et al. Subcortical hyperintensities on magnetic resonance imaging in patients with severe depression—A longitudinal evaluation , 1997, Biological Psychiatry.
[65] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[66] M. Akima,et al. The Microvasculature of the Cerebral White Matter: Arteries of the Subcortical White Matter , 2003, Journal of neuropathology and experimental neurology.
[67] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[68] Matthew D. Budde,et al. Design and Validation of Diffusion MRI Models of White Matter , 2017, Front. Phys..
[69] L. Fried,et al. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study. , 1996, Stroke.
[70] Jan Sijbers,et al. Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls , 2013, NeuroImage.
[71] S. Pacini,et al. Commentary: Structural and functional features of central nervous system lymphatic vessels , 2015, Front. Neurosci..
[72] Hannah V. Hare,et al. On the Origins of the Cerebral IVIM Signal , 2017, bioRxiv.
[73] D. Sodickson,et al. Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer , 2011, Magnetic resonance in medicine.
[74] Cristina Rossi,et al. The IVIM signal in the healthy cerebral gray matter: A play of spherical and non-spherical components , 2017, NeuroImage.
[75] C Thomsen,et al. The perfusion fraction in volunteers and in patients with ischaemic stroke , 1997, Acta radiologica.
[76] K Kuppusamy,et al. In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and postcontrast MR imaging. , 1996, Radiology.
[77] Maiken Nedergaard,et al. Impairment of paravascular clearance pathways in the aging brain , 2014, Annals of neurology.
[78] P. Choyke,et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.
[79] Jelle Veraart,et al. Gibbs ringing in diffusion MRI , 2016, Magnetic resonance in medicine.
[80] Carolin Reischauer,et al. Image denoising substantially improves accuracy and precision of intravoxel incoherent motion parameter estimates , 2017, PloS one.
[81] Kuncheng Li,et al. Voxel-based assessment of gray and white matter volumes in Alzheimer's disease , 2010, Neuroscience Letters.
[82] A. Hofman,et al. Cerebral white matter lesions and cognitive function: The Rotterdam scan study , 2000, Annals of neurology.
[83] V. Kiselev,et al. Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation , 2016, NMR in biomedicine.
[84] Jelle Veraart,et al. Diffusion MRI noise mapping using random matrix theory , 2016, Magnetic resonance in medicine.