A Novel Method for Magnetic Resonance Ocular Imaging Using Super-Resolution Reconstruction
Magnetic resonance imaging (MRI) is a noninvasive intraocular tumor detection method without ionizing radiation. However, resolution limitation and motion artifacts are difficult to overcome in the imaging process. Conventional scanning methods inevitably introduce motion artifacts, or require the s...
Main Authors: | LI Yu-zhou, ZHANG Zhe, CHAN Kevin Chuen-wing, GUO Hua |
---|---|
Format: | Article |
Language: | zho |
Published: |
Science Press
2017-12-01
|
Series: | Chinese Journal of Magnetic Resonance |
Subjects: | |
Online Access: | http://html.rhhz.net/bpxzz/html/20170405.htm |
Similar Items
-
Super-resolution reconstruction of brain magnetic resonance images via lightweight autoencoder
by: J. Andrew, et al.
Published: (2021-01-01) -
A Framework for Reconstructing Super-Resolution Magnetic Resonance Images from Sparse Raw Data Using Multilevel Generative Methods
by: Krzysztof Malczewski
Published: (2024-02-01) -
Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging
by: Wei Xu, et al.
Published: (2023-09-01) -
Magnetic Resonance Super-resolution Imaging Measurement with Dictionary-optimized Sparse Learning
by: Li Jun-Bao, et al.
Published: (2017-06-01) -
Guided filter-based multi-scale super-resolution reconstruction
by: Xiaomei Feng, et al.
Published: (2020-04-01)