Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers.
Thomas DratschCharlotte ZäskeFlorian SiedekPhilip RauenNils Große HokampKristina SonnabendDavid MaintzGrischa BratkeAndra IugaPublished in: European radiology experimental (2024)
• Combination of compressed sensing and DL improved image quality and allows for significant acceleration of 3D knee MRI. • DL-based algorithm achieved better subjective image quality than conventional compressed sensing. • For 3D knee MRI at 3 T, 54% faster image acquisition may be possible.
Keyphrases
- image quality
- deep learning
- total knee arthroplasty
- contrast enhanced
- computed tomography
- magnetic resonance imaging
- knee osteoarthritis
- diffusion weighted imaging
- dual energy
- anterior cruciate ligament
- machine learning
- anterior cruciate ligament reconstruction
- convolutional neural network
- magnetic resonance
- physical activity
- sleep quality