Original investigationPatient-Specific Computational Modeling of Cerebral Aneurysms With Multiple Avenues of Flow From 3D Rotational Angiography Images
Section snippets
Patient and Image Data
Three patients with cerebral aneurysms for which multiple 3DRA images had been obtained were selected from our database. These multiple selective angiographic images were chosen to have visualization of all avenues of flow into the aneurysms. Patient 1 is a 54-year-old man with an incidentally discovered 10-mm anterior communicating artery (ACoA) aneurysm treated with elective endosaccular coiling. For this patient, two rotational angiograms were obtained by using contrast injection in the left
Numeric Phantom
The model newly constructed from the simulated angiography was found to be in good agreement with the original anatomic model. Figure 2 (bottom right) shows a surface rendering of the distance between the two geometric models. The maximum distance between the two models is of the order of the voxel size (0.02 cm) used to create the virtual angiograms. It also can be seen that regions of maximum distance between models coincide with regions of poor overlap between the virtual angiograms, in this
Discussion
Current technology cannot provide in vivo intra-aneurysmal hemodynamic information whether using invasive or noninvasive measurements. Therefore, researchers have turned to CFD simulations to gain a better understanding of intra-aneurysmal hemodynamics. Computational-based models provide an attractive tool that can model and study any possible geometry (10). Until recently, computational studies were performed on only idealized aneurysm geometries or approximations of a specific patient
Acknowledgment
The authors thank Philips Medical Systems and The Whitaker Foundation (BRG-01-0085) for financial support and encouragement.
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Grant support from Patient-Specific Computational Modeling of Cerebral Aneurysms, Philips Medical Systems; Quantitative Assessment of Endovascular Carotid Angioplasty and Stenting, Bioengineering Research Grant RG-01-0085, The Whitaker Foundation