Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution

Four-dimensional magnetic resonance imaging (4D-MRI) is an emerging technique for tumor motion management in image-guided radiation therapy (IGRT). However, current 4D-MRI suffers from low spatial resolution and strong motion artifacts owing to the long acquisition time and patients' respirator...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on medical imaging 2024-01, Vol.43 (1), p.1-1
Hauptverfasser:	Zhi, Shaohua, Wang, Yinghui, Xiao, Haonan, Bai, Ti, Li, Bing, Tang, Yunsong, Liu, Chenyang, Li, Wen, Li, Tian, Ge, Hong, Cai, Jing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomedical imaging Coarse-to-fine registration Datasets Deep learning Estimation Fields (mathematics) Formability Four-dimensional magnetic resonance Imaging Image enhancement Image resolution Machine learning Magnetic resonance imaging Medical imaging Motion simulation Neural networks Radiation therapy Spatial discrimination Spatial resolution Super-resolution Training Tumors
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!