[Reduction of Motion Artifacts in Liver MRI Using Deep Learning with High-pass Filtering].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published Date: Mar 11, 2024

Abstract

PURPOSE: To investigate whether deep learning with high-pass filtering can be used to effectively reduce motion artifacts in magnetic resonance (MR) images of the liver.

Authors

Motohira Mio

Department of Radiology, Fukuoka University Chikushi Hospital.
Nariaki Tabata

Department of Radiology, Fukuoka University Chikushi Hospital.
Tatsuo Toyofuku

Department of Radiology, Fukuoka University Chikushi Hospital.
Hironori Nakamura

Department of Radiology, Fukuoka University Chikushi Hospital.

Keywords

Adult Aged Aged, 80 and over Artifacts Deep Learning Female Humans Image Processing, Computer-Assisted Liver Magnetic Resonance Imaging Male Middle Aged Motion

External Resources

View on PubMed Access via DOI PubMed (38462509)

[Reduction of Motion Artifacts in Liver MRI Using Deep Learning with High-pass Filtering].

Abstract

Authors

Keywords

External Resources

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