Calculation of virtual 3D subtraction angiographies using conditional generative adversarial networks (cGANs)

Abstract Objective Subtraction angiographies are calculated using a native and a contrast-enhanced 3D angiography images. This minimizes both bone and metal artifacts and results in a pure image of the vessels. However, carrying out the examination twice means double the radiation dose for the patie...

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Autors principals:	Sebastian Johannes Müller, Eric Einspänner, Stefan Klebingat, Seraphine Zubel, Roland Schwab, Erelle Fuchs, Elie Diamandis, Eya Khadhraoui, Daniel Behme
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-10-01
Col·lecció:	BMC Medical Imaging
Matèries:	3D rotational angiography Subtraction angiography pix2pix Conditional generative adversarial network
Accés en línia:	https://doi.org/10.1186/s12880-024-01454-7
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