Quantification of deep medullary veins at 7 T brain MRI
暂无分享,去创建一个
Geert Jan Biessels | Max A Viergever | Hugo J Kuijf | Willem H Bouvy | Koen L Vincken | Jaco J M Zwanenburg | Tom B Razoux Schultz
[1] D. Hu,et al. Neurobiological basis of head motion in brain imaging , 2014, Proceedings of the National Academy of Sciences.
[2] Maja A. A. Binnewijzend,et al. Cerebral blood flow measured with 3D pseudocontinuous arterial spin-labeling MR imaging in Alzheimer disease and mild cognitive impairment: a marker for disease severity. , 2013, Radiology.
[3] Y. Cheng,et al. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation , 2010, Journal of magnetic resonance imaging : JMRI.
[4] Thoralf Niendorf,et al. Periventricular venous density in multiple sclerosis is inversely associated with T2 lesion count: a 7 Tesla MRI study , 2013, Multiple sclerosis.
[5] E Mark Haacke,et al. Diminished visibility of cerebral venous vasculature in multiple sclerosis by susceptibility‐weighted imaging at 3.0 Tesla , 2009, Journal of magnetic resonance imaging : JMRI.
[6] Guido Gerig,et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1998, Medical Image Anal..
[7] Stefan Ropele,et al. Loss of Venous Integrity in Cerebral Small Vessel Disease: A 7-T MRI Study in Cerebral Autosomal-Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy (CADASIL) , 2014, Stroke.
[8] Pascal J. Kieslich,et al. Asymmetry of Deep Medullary Veins on Susceptibility Weighted MRI in Patients with Acute MCA Stroke Is Associated with Poor Outcome , 2015, PloS one.
[9] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[10] J. Zwanenburg,et al. High resolution imaging of cerebral small vessel disease with 7 T MRI. , 2014, Acta neurochirurgica. Supplement.
[11] B. Schlesinger,et al. THE VENOUS DRAINAGE OF THE BRAIN, WITH SPECIAL REFERENCE TO THE GALENIC SYSTEM , 1939 .
[12] D. Reboussin,et al. Cerebral Microvascular Alterations in Aging, Leukoaraiosis, and Alzheimer's Disease a , 1997, Annals of the New York Academy of Sciences.
[13] Yu-Chung N. Cheng,et al. Susceptibility weighted imaging (SWI) , 2004, Zeitschrift fur medizinische Physik.
[14] Y. Reijmer,et al. Cerebral Microvascular Lesions on High-Resolution 7-Tesla MRI in Patients With Type 2 Diabetes , 2014, Diabetes.
[15] Heinz-Otto Peitgen,et al. Multiple hypothesis template tracking of small 3D vessel structures , 2010, Medical Image Anal..
[16] Carl D Langefeld,et al. Quantification of afferent vessels shows reduced brain vascular density in subjects with leukoaraiosis. , 2004, Radiology.
[17] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[18] D. Louis Collins,et al. Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.
[19] C. Almli,et al. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.
[20] David G. Lowe,et al. Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.
[21] A. E. Rosenbaum,et al. Radiographic anatomy of normal cerebral deep medullary veins: Criteria for distinguishing them from their abnormal counterparts , 2004, Neuroradiology.
[22] Natalia Petridou,et al. Fast high resolution whole brain T2* weighted imaging using echo planar imaging at 7T , 2011, NeuroImage.
[23] Max A. Viergever,et al. Automated detection of periventricular veins on 7 T brain MRI , 2015, Medical Imaging.
[24] Min Lou,et al. Increased Visibility of Deep Medullary Veins in Leukoaraiosis: A 3-T MRI Study , 2013, Front. Aging Neurosci..
[25] D P Friedman,et al. Abnormalities of the deep medullary white matter veins: MR imaging findings. , 1997, AJR. American journal of roentgenology.