Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study.
Hiroyuki AkaiKoichiro YasakaHaruto SugawaraTaku TajimaMasaru KamitaniToshihiro FurutaMasaaki AkahaneNaoki YoshiokaKuni OhtomoOsamu AbeShigeru KiryuPublished in: BMC Medical Imaging (2023)
Keyphrases
- compressed sensing
- magnetic resonance imaging
- deep learning
- image reconstruction
- medical images
- random projections
- unsupervised learning
- natural images
- sparse representation
- medical imaging
- signal processing
- machine learning
- mental models
- weakly supervised
- data sets
- dimensionality reduction
- feature space
- super resolution
- image features
- three dimensional
- neural network