Accuracy of Dose-Saving Artificial-Intelligence-Based 3D Angiography (3DA) for Grading of Intracranial Artery Stenoses: Preliminary Findings

Background and purpose: Based on artificial intelligence (AI), 3D angiography (3DA) is a novel postprocessing algorithm for “DSA-like” 3D imaging of cerebral vasculature. Because 3DA requires neither mask runs nor digital subtraction as the current standard 3D-DSA does, it has the potential to cut t...

Descripción completa

Detalles Bibliográficos
Autores principales: Lang, Stefan, Hoelter, Philip, Schmidt, Manuel Alexander, Mrochen, Anne, Kuramatsu, Joji, Kaethner, Christian, Roser, Philipp, Kowarschik, Markus, Doerfler, Arnd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954830/
https://www.ncbi.nlm.nih.gov/pubmed/36832200
http://dx.doi.org/10.3390/diagnostics13040712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954830/
https://www.ncbi.nlm.nih.gov/pubmed/36832200
http://dx.doi.org/10.3390/diagnostics13040712

Ejemplares similares