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- W2592787210 abstract "Several neurosurgical procedures, such as Artero Venous Malformations (AVMs), aneurysm embolizations andStereoElectroEncephaloGraphy (SEEG) require accurate reconstruction of the cerebral vascular tree, as well as theclassification of arteries and veins, in order to increase the safety of the intervention. Segmentation of arteries and veinsfrom 4D CT perfusion scans has already been proposed in different studies. Nonetheless, such procedures require longacquisition protocols and the radiation dose given to the patient is not negligible. Hence, space is open to approachesattempting to recover the dynamic information from standard Contrast Enhanced Cone Beam Computed Tomography(CE-CBCT) scans. The algorithm proposed by our team is called ART 3.5 D. It is a novel algorithm based on the postprocessingof both the angiogram and the raw data of a standard Digital Subtraction Angiography from a CBCT (DSACBCT)allowing arteries and veins segmentation and labeling without requiring any additional radiation exposure for thepatient and neither lowering the resolution. In addition, while in previous versions of the algorithm just the distinction ofarteries and veins was considered, here the capillary phase simulation and identification is introduced, in order toincrease further information useful for more precise vasculature segmentation." @default.
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- W2592787210 date "2017-03-03" @default.
- W2592787210 modified "2023-09-23" @default.
- W2592787210 title "The introduction of capillary structures in 4D simulated vascular tree for ART 3.5D algorithm further validation" @default.
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- W2592787210 doi "https://doi.org/10.1117/12.2254556" @default.
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