Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity

By Juan Raul Cebral, Marcelo Adrián Castro, Sunil Appanaboyina, Christopher M. Putman, Daniel Millán, Alejandro F Frangi. IEEE Transactions on Medical Imaging, 2005

614 citations recorded by the source corpus.

Subfields: Neurology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/680bc0fb4b5716c07d5378c46b4ed4cebbc69086

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Luca Antiga
2. Juan Raul Cebral
3. Marina Piccinelli
4. Marcelo Adrián Castro
5. Christopher M. Putman
6. Lorenzo Botti
7. Andrea Remuzzi
8. David A. Steinman

Citations in the corpus

• An image-based modeling framework for patient-specific computational hemodynamics (2008, methodology): “In fact, more automated segmentation methods must later rely on model editing to prepare geometries for mesh generation [10, 13].”
• Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. (2005, background): “As reported elsewhere in our sensitivity analysis (24), small changes in the geometry can have significant effects on intra-aneurysmal patterns.”