Point: CFD - Computational fluid dynamics or confounding factor dissemination

American Journal of Neuroradiology

Volumn 33, Issue 3, 2012, Pages 395-396

  Kallmes, D F ^a  

^a MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANEURYSM RUPTURE; ANGIOGRAPHY; BLOOD VESSEL WALL; COMPUTATIONAL FLUID DYNAMICS; EDITORIAL; HEART VENTRICLE ENDDIASTOLIC PRESSURE; HEMODYNAMICS; HUMAN; INTRACRANIAL ANEURYSM; MACHINE LEARNING; PHENOTYPE; PHYSICIAN; SCIENTIST; SHEAR STRESS;

COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INTRACRANIAL ANEURYSM; MODELS, CARDIOVASCULAR; RHEOLOGY;

EID: 84858687987     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A2993     Document Type: Editorial

References (5)

1. Steinman DA. Computational modeling and flow diverters: a teaching moment. AJNR Am J Neuroradiol 2011;32:981-83
2. Geers AJ, Larrabide I, Radaelli AG, et al. Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: an in vivo reproducibility study. AJNR Am J Neuroradiol 2011; 32:581-86
3. Sforza DM, Putman CM, Scrivano E, et al. Blood-flow characteristics in a terminal basilar tip aneurysm prior to its fatal rupture. AJNR Am J Neuroradiol 2010;31:1127-31
4. Shojima M, Oshima M, Takagi K, et al. Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms. Stroke 2004;35:2500-05 (Pubitemid 39458407)
5. Shimogonya Y, Ishikawa T, Imai Y, et al. Can temporal fluctuation in spatial wall shear stress gradient initiate a cerebral aneurysm? A proposed novel hemodynamic index, the gradient oscillatory number (GON). J Biomech 2009; 11;42:550 -54. Epub 2009 Feb 4