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A preliminary study of deep learning-based reconstruction specialized for denoising in high-frequency domain: usefulness in high-resolution three-dimensional magnetic resonance cisternography of the cerebellopontine angle

Hiroyuki Uetani, Takeshi Nakaura, Mika Kitajima, Yuichi Yamashita, Tadashi Hamasaki, Machiko Tateishi, Kosuke Morita, Akira Sasao, Seitaro Oda, Osamu Ikeda, Yasuyuki Yamashita

2020Neuroradiology33 citationsDOI

Topics & Concepts

MedicineImage qualityCerebellopontine anglePonsNuclear medicineNeuroradiologyMagnetic resonance imagingContrast (vision)Iterative reconstructionRadiologyNeurologyArtificial intelligenceOpticsPhysicsImage (mathematics)AnatomyComputer sciencePsychiatryTrigeminal Neuralgia and TreatmentsDental Radiography and ImagingAdvanced Radiotherapy Techniques
A preliminary study of deep learning-based reconstruction specialized for denoising in high-frequency domain: usefulness in high-resolution three-dimensional magnetic resonance cisternography of the cerebellopontine angle | Litcius