Ackerstaff, R. G., M. J. Suttorp, J. C. van den Berg, T. T. Overtoom, J. A. Vos, E. T. Bal, and P. Zanen. Prediction of early cerebral outcome by transcranial Doppler monitoring in carotid bifurcation angioplasty and stenting. J. Vasc. Surg. 41(4):618–624, 2005.
Augst, A. D., D. C. Barratt, A. D. Hughes, F. P. Glor, S. A. Thom, and X. Y. Xu. Accuracy and reproducibility of CFD predicted wall shear stress using 3D ultrasound images. J. Biomech. Eng. 125:218–222, 2003.
Boussel, L., V. Rayz, C. McCulloch, A. Martin, G. Acevedo-Bolton, et al. Aneurysm growth occurs at region of low wall shear stress: patient-specific correlation of hemodynamics and growth in a longitudinal study. Stroke 39:2997–3002, 2008.
Cebral, J., M. Castro, C. Putman, and N. Alperin. Flow–area relationship in internal carotid and vertebral arteries. Physiol. Meas. 29(5):585–594, 2008.
Cebral, J. R., M. A. Castro, S. Appanaboyina, C. M. Putman, D. Millan, and A. F. Frangi. Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans. Med. Imaging 24(4):457–467, 2005.
Cebral, J. R., M. A. Castro, J. E. Burgess, R. S. Pergolizzi, M. J. Sheridan, and C. M. Putman. Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamic models. Am. J. Neuroradiol. 26:2550–2559, 2005.
Cebral, J. R., F. Mut, M. Raschi, E. Scrivano, R. Ceratto, et al. Aneurysm rupture following treatment with flow-diverting stents: computational hemodynamics analysis of treatment. Am. J. Neuroradiol. 32:27–33, 2011.
Cebral, J. R., F. Mut, J. Weir, and C. M. Putman. Association of hemodynamic characteristics and cerebral aneurysm rupture. Am. J. Neuroradiol. 32:264–270, 2011.
Chaloupka, J. C., F. Viñuela, C. Kimme-Smith, J. Robert, and G. R. Duckwiler. Use of a Doppler guide wire for intravascular blood flow measurements: a validation study for potential neurologic endovascular applications. Am. J. Neuroradiol. 15:509–517, 1994.
Cheng, C., F. Helderman, D. Tempel, D. Segers, B. Hierck, et al. Large variations in absolute wall shear stress levels within one species and between species. Atherosclerosis 195(2):225–235, 2007.
Ford, M. D., N. Alperin, S. H. Lee, D. W. Holdsworth, and D. A. Steinman. Characterization of volumetric flow rate waveforms in the normal internal carotid and vertebral arteries. Physiol. Meas. 26(4):477–488, 2005.
Geers, A., I. Larrabide, A. G. Radaelli, H. Bogunovic, M. Kim, et al. (2011) Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: an in vivo reproducibility study. Am. J. Neuroradiol. 32(3):581–586, 2011.
Karmonik, C., C. Yen, O. Diaz, R. Klucznik, R. G. Grossman, and G. Benndorf. Temporal variations of wall shear stress parameters in intracranial aneurysms: importance of patient-specific inflow waveforms for CFD calculations. Acta Neurochir. 152:1391–1398, 2010.
Levitt, M. R., P. M. McGah, A. Aliseda, P. Mourad, J. D. Nerva, et al. Cerebral aneurysm treated with flow-diverting stents: computational models using intravascular blood flow measurements. Am. J. Neuroradiol., 2013. DOI: 10.3174/ajnr.A3624
Levitt, M. R., S. S. Vaidya, J. C. Mai, D. K. Hallam, L. J. Kim, and B. V. Ghodke. Balloon test occlusion with the Doppler velocity guidewire. J. Stroke Cerebrovasc Dis. 21:901–904, 2012.
Marzo, A., P. Singh, I. Larrabide, A. Radaelli, S. Coley, et al. Computational hemodynamics in cerebral aneurysms: the effects of modeled versus measured boundary conditions. Ann. Biomed. Eng. 39(2):884–896, 2011.
Melamed, E., S. Lavy, S. Bentin, G. Cooper, and Y. Rinot. Reduction in regional cerebral blood flow during normal aging in man. Stroke 11(1):31–35, 1980.
Meng, H., V. M. Tutino, J. Xiang, and A. Siddiqui. High WSS or low WSS? Complex interactions of hemodynamics with intracranial aneurysm initiation, growth, and rupture: toward a unifying hypothsis. Am. J. Neuroradiol., 2014. DOI: 10.3174/ajnr.A3558.
Miura, Y., F. Ishida, Y. Umeda, H. Tanemura, H. Suzuki, et al. Shear stress is independently associated with the rupture status of middle cerebral artery aneurysms. Stroke 44:519–521, 2013.
Mynard, J. P., and D. A. Steinman. Effect of velocity profile skewing on blood velocity and volume flow waveforms derived from maximum Doppler spectral velocity. Ultrasound Med. Biol. 39(5):870–881, 2013.
Radaelli, A. G., L. Augsburger, J. R. Cebral, M. Ohta, D. A. Rüfenacht, et al. Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model: a report on the Virtual Intracranial Stenting Challenge 2007. J. Biomech. 41:2069–2081, 2008.
Reymond, P., Y. Bohraus, F. Perren, F. Lazeyras, and N. Stergiopulos. Validation of a patient-specific one-dimensional model of the systemic arterial tree. Am. J. Physiol. Heart Circ. Physiol. 301(3):H1173–H1182, 2011.
Schneiders, J. J., S. P. Ferns, P. van Ooij, M. Siebes, A. J. Nederveen, et al. Comparison of phase-contrast MR imaging and endovascular sonography for intracranial blood flow velocity measurements. Am. J. Neuroradiol. 33:1786–1790, 2012.
Seitz, J., M. Strotzer, T. Wild, W. R. Nitz, M. Völk, M. Lenhart, and S. Feuerbach. Quantification of blood flow in the carotid arteries: comparison of doppler ultrasound and three different phase-contrast magnetic resonance imaging sequences. Invest. Radiol. 36(11):642–647, 2001.
Steinman, D. A. Computational modeling and flow diverters: a teaching moment. Am. J. Neuroradiol. 32:981–983, 2011.
Steinman, D. A., Y. Hoi, P. Fahy, L. Morris, M. T. Walsh, et al. Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge. J. Biomech. Eng. 135:1–13, 2013.
Steinman, D. A., J. S. Milner, C. J. Norley, S. P. Lownia, and D. W. Holdsworth. Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. Am. J. Neuroradiol. 24:559–566, 2003.
Sun, Q., A. Groth, and T. Aach. Comprehensive validation of computational fluid dynamics simulations of in-vivo blood flow in patient-specific cerebral aneurysms. Med. Phys. 39(2):742–754, 2012.
Sviri, G. E., B. Ghodke, G. W. Britz, C. M. Douville, D. R. Haynor, and A. H. Mesiwala. Transcranial Doppler grading criteria for basilar artery vasospasm. Neurosurgery 59:360–366, 2006.
Thomas, J. B., J. S. Milner, B. K. Rutt, and D. A. Steinman. Reproducibility of image-based computational fluid dynamics models of the human carotid bifurcation. Ann. Biomed. Eng. 31:132–141, 2003.
Turner, C. L., J. N. Higgins, and P. J. Kirkpatrick. Assessment of transcranial color-coded duplex sonography for the surveillance of intracranial aneurysms treated with Guglielmi detachable coils. Neurosurgery 53:866–871, 2003.
Venugopal, P., D. Valentino, H. Schmitt, J. P. Villablanca, F. Viñuela, et al. Sensitivity of patient-specific numerical simulation of cerebral aneurysm hemodynamics to inflow boundary conditions. J. Neurosurg. 106:1051–1060, 2007.
Xiang, J., S. K. Natarajan, M. Tremmel, D. Ma, J. Mocco, et al. Hemodynamic-morphologic discriminants for intracranial aneurysm rupture. Stroke 42:144–152, 2011.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4