Applicability of deep learning-based reconstruction trained by brain and knee 3T MRI to lumbar 1.5T MRI.
Nobuo KashiwagiHisashi TanakaYuichi YamashitaHiroto TakahashiYoshimori KassaiMasahiro FujiwaraNoriyuki TomiyamaPublished in: Acta radiologica open (2021)
The deep learning-based reconstruction method trained by 3T brain and knee images may reduce the scanning time of 1.5T lumbar magnetic resonance images by one-third without sacrificing image quality.
Keyphrases
- deep learning
- contrast enhanced
- image quality
- magnetic resonance
- convolutional neural network
- total knee arthroplasty
- minimally invasive
- artificial intelligence
- computed tomography
- resting state
- magnetic resonance imaging
- white matter
- knee osteoarthritis
- resistance training
- machine learning
- diffusion weighted imaging
- functional connectivity
- anterior cruciate ligament
- cerebral ischemia
- high resolution
- multiple sclerosis
- brain injury
- mass spectrometry