Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models.
By Juan Raul Cebral, Marcelo Adrián Castro, James Burgess, R. Pergolizzi, M. Sheridan, Christopher M. Putman. AJNR. American journal of neuroradiology, 2005
733 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3611a2d36794bb474f5e4f041066c841d7f81e84
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Charles A. Taylor
- C. Alberto Figueroa
- Irene E. Vignon-Clementel
- Jay D. Humphrey
- H. Kim
- Juan Raul Cebral
- Marcelo Adrián Castro
- Sunil Appanaboyina
Citations in the corpus
- Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity (2005, methodology): “Using this pipeline, to date approximately 60 models have been created and classified into different categories according to different features of the aneurysmal hemodynamics [16].”
- Patient-Specific Modeling of Blood Flow and Pressure in Human Coronary Arteries (2010, background): “to solve for Eqs. (1)–( 4 ) in this study. The Lumped Parameter Model of Downstream”
- Intracranial and abdominal aortic aneurysms: similarities, differences, and need for a new class of computational models. (2008, background): “Cebral et al. (90) quantified flow velocity patterns in 62 patient-specific CFD models reconstructed from 3D rotational angiography and suggested that lesions most likely to rupture had complex or unstable flows and narrow jets and impingement sites.”