Cross modality generative learning framework for anatomical transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) image

This paper presents a cross-modality generative learning framework for transitive magnetic resonance imaging (MRI) from electrical impedance tomography (EIT). The proposed framework is aimed at converting low-resolution EIT images to high-resolution wrist MRI images using a cascaded cycle generative...

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Veröffentlicht in:	Computerized medical imaging and graphics 2023-09, Vol.108, p.102272-102272, Article 102272
Hauptverfasser:	Wang, Zuojun, Nawaz, Mehmood, Khan, Sheheryar, Xia, Peng, Irfan, Muhammad, Wong, Eddie C., Chan, Russell, Cao, Peng
Format:	Artikel
Sprache:	eng
Schlagworte:	Electrical Impedance Tomography Generative networks Magnetic Resonance Image Medical images
Online-Zugang:	Volltext
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