Several neurosurgical procedures, such as ArteroVenous Malformations (AVMs) and StereoElectroEncephaloGraphy (SEEG) require accurate reconstruction of the cerebral vascular tree, as well as the classification of arteries and veins, to increase the safety of the intervention. We propose ART-3.5D, a novel approach to recover the dynamic information from standard Cone Beam Computed Tomography Angiography scans based on the post- processing of both the segmented angiogram and the raw data-set.
Numerical algorithm to recover contrast dynamics in 3D digital subtraction angiography data-sets: a preliminary clinical validation
EL HADJI, SARA;BONILAURI, AUGUSTO;E. De Momi;G. Baselli;
2018-01-01
Abstract
Several neurosurgical procedures, such as ArteroVenous Malformations (AVMs) and StereoElectroEncephaloGraphy (SEEG) require accurate reconstruction of the cerebral vascular tree, as well as the classification of arteries and veins, to increase the safety of the intervention. We propose ART-3.5D, a novel approach to recover the dynamic information from standard Cone Beam Computed Tomography Angiography scans based on the post- processing of both the segmented angiogram and the raw data-set.File in questo prodotto:
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Numerical algorithm to recover contrast dynamics in 3D digital subtraction angiography data-sets- a preliminary clinical validation.pdf
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