[Development of Motion Artifact Generator for Deep Learning in Brain MRI].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published Date: Jan 1, 2021

Abstract

PURPOSE: We focused on deep learning for a reduction of motion artifacts in MRI. It is difficult to collect a large number of images with and without motion artifacts from clinical images. The purpose of this study was to create motion artifact images in MRI by simulation.

Authors

Hikari Tsukamoto

Radiological Technology Department, Clinical Technology Division, Tokai University Hospital.
Isao Muro

Radiological Technology Department, Clinical Technology Division, Tokai University Hospital.

Keywords

Artifacts Brain Computer Simulation Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Motion Reproducibility of Results

External Resources

View on PubMed Access via DOI PubMed (34011789)

[Development of Motion Artifact Generator for Deep Learning in Brain MRI].

Abstract

Authors

Keywords

External Resources

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