Abstract
BACKGROUND:: Risk prediction of rupture of intracranial aneurysms is poor, and mainly based on lumen characteristics. However, characteristics of the aneurysm wall may be more informative predictors. The limited resolution of currently available imaging techniques, and the thin aneurysm wall, make imaging of wall thickness challenging. OBJECTIVE:: To introduce a
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