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1.Augsburger L, Reymond P, Fonck E, et al. Methodologies to assess blood flow in cerebral aneurysms: Current state of research and perspectives. Journal of neuroradiology. 2009;36:270-277 2.Bash S, Villablanca JP, Jahan R, et al. Intracranial vascular stenosis and occlusive disease: Evaluation with ct angiography, mr angiography, and digital subtraction angiography. American Journal of Neuroradiology. 2005;26:1012-1021 3.Bonnefous O, Pereira VM, Ouared R, et al. Quantification of arterial flow using digital subtraction angiography. Medical physics. 2012;39:6264-6275 4.Chen G-H, Tang J, Leng S. Prior image constrained compressed sensing (piccs): A method to accurately reconstruct dynamic ct images from highly undersampled projection data sets. Medical physics. 2008;35:660-663 5.Croarkin C, Tobias P. Nist/sematech e-handbook of statistical methods. NIST/SEMATECH. 2006 6.Davis B, Royalty K, Kowarschik M, et al. 4d digital subtraction angiography: Implementation and demonstration of feasibility. American Journal of Neuroradiology. 2013;34:1914-1921 7.Fahrig R, Nikolov H, Fox A, et al. A three-dimensional cerebrovascular flow phantom. Medical physics. 1999;26:1589-1599 8.Feldkamp L, Davis L, Kress J. Practical cone-beam algorithm. JOSA A. 1984;1:612-619 9.Ganguly A, Fieselmann A, Marks M, et al. Cerebral ct perfusion using an interventional c-arm imaging system: Cerebral blood flow measurements. American Journal of Neuroradiology. 2011;32:1525-1531 10.Groth A, Waechter-Stehle I, Brina O, et al. Clinical study of model-based blood flow quantification on cerebrovascular data. SPIE Medical Imaging. 2011:79640X-79640X-79613 11.Grist TM, Mistretta CA, Strother CM, et al. Time-resolved angiography: Past, present, and future. Journal of Magnetic Resonance Imaging. 2012;36:1273-1286 12.Hagen G, Lindgren P, Jangland L, et al. Artifacts in 3d rotational angiography. An experimental study. Acta Radiologica. 2005;46:32-36 13.Hasegawa BH. The physics of medical x-ray imaging. 1990 14.Hermus J, Szczykutowicz TP, Strother CM, et al. Quantitative analysis of artifacts in 4d dsa: The relative contributions of beam hardening and scatter to vessel dropout behind highly attenuating structures. SPIE Medical Imaging. 2014:90332G-90332G-90312 15.Hermus J, Mistretta C, Szczykutowicz TP. Scatter correction of vessel dropout behind highly attenuating structures in 4d-dsa. SPIE Medical Imaging. 2015:94124K-94124K-94127 16.Hou Y, Liu X, Xv S, et al. Comparisons of image quality and radiation dose between iterative reconstruction and filtered back projection reconstruction algorithms in 256-mdct coronary angiography. American journal of roentgenology. 2012;199:588-594 17.Kalender WA, Kyriakou Y. Flat-detector computed tomography (fd-ct). European radiology. 2007;17:2767-2779 18.Kak AC, Slaney M. Principles of computerized tomographic imaging. Siam; 1988. 19.Ko NU, Achrol AS, Chopra M, et al. Cerebral blood flow changes after endovascular treatment of cerebrovascular stenoses. American journal of neuroradiology. 2005;26:538-542 20.Lin C-J, Luo C-B, Hung S-C, et al. Application of color-coded digital subtraction angiography in treatment of indirect carotid-cavernous fistulas: Initial experience. Journal of the Chinese Medical Association. 2013;76:218-224 21.Lin C, Hung S, Guo W, et al. Monitoring peri-therapeutic cerebral circulation time: A feasibility study using color-coded quantitative dsa in patients with steno-occlusive arterial disease. American Journal of Neuroradiology. 2012;33:1685-1690 22.Matsumoto K, Urano M, Hirai M, et al. Haemodynamic evaluation of cerebral arteriovenous malformations by quantification of transit time using high speed digital subtraction angiography: Basic considerations. Journal of Clinical Neuroscience. 2000;7:39-41 23.Mistretta C, Wieben O, Velikina J, et al. Highly constrained backprojection for time-resolved mri. Magnetic resonance in medicine. 2006;55:30-40 24.Mistretta C, Oberstar E, Davis B, et al. 4d-dsa and 4d fluoroscopy: Preliminary implementation. SPIE Medical Imaging. 2010:762227-762227-762228 25.Mistretta CA. Sub-nyquist acquisition and constrained reconstruction in time resolved angiography. Medical physics. 2011;38:2975-2985 26.Sandoval-Garcia C, Royalty K, Yang P, et al. 4d dsa a new technique for arteriovenous malformation evaluation: A feasibility study. Journal of neurointerventional surgery. 2015:neurintsurg-2014-011534 27.Sforza DM, Putman CM, Cebral JR. Hemodynamics of cerebral aneurysms. Annual Review of Fluid Mechanics. 2009;41:91 28.Sun Q, Groth A, Bertram M, et al. Phantom-based experimental validation of computational fluid dynamics simulations on cerebral aneurysms. Medical physics. 2010;37:5054-5065 29.Sugahara T, Korogi Y, Nakashima K, et al. Comparison of 2d and 3d digital subtraction angiography in evaluation of intracranial aneurysms. American journal of neuroradiology. 2002;23:1545-1552 30.Thompson HK, Starmer CF, Whalen RE, et al. Indicator transit time considered as a gamma variate. Circ Res. 1964;14:502-515 31.袁帝文, 應用數值方法. 儒林. 1997.
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