Bias in MRI Measurements of Apparent Diffusion Coefficient and Kurtosis: Implications for Choice of Maximum Diffusion Encoding
暂无分享,去创建一个
[1] Kevin C. Chan,et al. B-value dependence of DTI quantitation and sensitivity in detecting neural tissue changes , 2010, NeuroImage.
[2] John N. Tsitsiklis,et al. Introduction to Probability , 2002 .
[3] A. Rosenkrantz,et al. Minimization of errors in biexponential T2 measurements of the prostate , 2015, Journal of magnetic resonance imaging : JMRI.
[4] M. Kanematsu,et al. Diffusion‐weighted imaging of the liver: Optimizing b value for the detection and characterization of benign and malignant hepatic lesions , 2008, Journal of magnetic resonance imaging : JMRI.
[5] C. Boesch,et al. Diffusion‐weighted imaging of the parotid gland: Influence of the choice of b‐values on the apparent diffusion coefficient value , 2004, Journal of magnetic resonance imaging : JMRI.
[6] Joseph A. Helpern,et al. White matter characterization with diffusional kurtosis imaging , 2011, NeuroImage.
[7] Derek K. Jones,et al. “Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data , 2004, Magnetic resonance in medicine.
[8] 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.
[9] J V Hajnal,et al. High b-Value Diffusion Tensor Imaging of the Neonatal Brain at 3T , 2008, American Journal of Neuroradiology.
[10] Charles M. Grinstead,et al. Introduction to probability , 1999, Statistics for the Behavioural Sciences.
[11] N. Toschi,et al. Differences in Gaussian diffusion tensor imaging and non-Gaussian diffusion kurtosis imaging model-based estimates of diffusion tensor invariants in the human brain. , 2016, Medical physics.
[12] J. Helpern,et al. MRI quantification of non‐Gaussian water diffusion by kurtosis analysis , 2010, NMR in biomedicine.
[13] V. Kiselev. The Cumulant Expansion: An Overarching Mathematical Framework For Understanding Diffusion NMR , 2010 .
[14] O. Gonen,et al. The optimal MR acquisition strategy for exponential decay constants estimation. , 2008, Magnetic resonance imaging.
[15] G. Johnson,et al. A model describing diffusion in prostate cancer , 2017, Magnetic resonance in medicine.
[16] N M deSouza,et al. Diffusion-weighted magnetic resonance imaging: a potential non-invasive marker of tumour aggressiveness in localized prostate cancer. , 2008, Clinical radiology.
[17] Stephan E Maier,et al. Biexponential characterization of prostate tissue water diffusion decay curves over an extended b-factor range. , 2006, Magnetic resonance imaging.
[18] Derek K. Jones,et al. Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review , 2002 .
[19] Richard A. Jones,et al. The evolution of the apparent diffusion coefficient in the pediatric brain at low and high diffusion weightings , 2003, Journal of magnetic resonance imaging : JMRI.
[20] M. F. Falangola,et al. Preliminary observations of increased diffusional kurtosis in human brain following recent cerebral infarction , 2011, NMR in biomedicine.
[21] Paul Malcolm,et al. An improved model for prostate diffusion incorporating the results of Monte Carlo simulations of diffusion in the cellular compartment , 2017, NMR in biomedicine.
[22] M. Moseley,et al. Magnetic Resonance in Medicine 51:924–937 (2004) Characterizing Non-Gaussian Diffusion by Using Generalized Diffusion Tensors , 2022 .
[23] Brian Hansen,et al. Precision and accuracy of diffusion kurtosis estimation and the influence of b‐value selection , 2017, NMR in biomedicine.
[24] Daniel C. Alexander,et al. NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.
[25] G. Johnson,et al. Parameter Estimation Error Dependency on the Acquisition Protocol in Diffusion Kurtosis Imaging , 2016, Applied magnetic resonance.
[26] G. Johnson,et al. A monte carlo study of restricted diffusion: Implications for diffusion MRI of prostate cancer , 2017, Magnetic resonance in medicine.
[27] D. Le Bihan,et al. Quantitative Non-Gaussian Diffusion and Intravoxel Incoherent Motion Magnetic Resonance Imaging: Differentiation of Malignant and Benign Breast Lesions , 2015, Investigative radiology.
[28] Emilie T. McKinnon,et al. Comparison of cumulant expansion and q-space imaging estimates for diffusional kurtosis in brain. , 2018, Magnetic resonance imaging.
[29] J. E. Tanner,et al. Spin diffusion measurements : spin echoes in the presence of a time-dependent field gradient , 1965 .
[30] R I Grossman,et al. Non-Gaussian diffusion MRI of gray matter is associated with cognitive impairment in multiple sclerosis , 2015, Multiple sclerosis.
[31] R. Gillies,et al. Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy. , 2004, Neoplasia.
[32] G. L. Bretthorst,et al. Statistical model for diffusion attenuated MR signal , 2003, Magnetic resonance in medicine.
[33] Koichi Oshio,et al. Biexponential apparent diffusion coefficients in prostate cancer. , 2009, Magnetic resonance imaging.
[34] D. Sodickson,et al. Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer , 2011, Magnetic resonance in medicine.