Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image Filters.
Konstantinos Zormpas-PetridisNina TunariuAndra CurceanChristina MessiouSebastian CurceanDavid J CollinsJulie C HughesYann JaminDow-Mu KohMatthew D BlackledgePublished in: Radiology. Artificial intelligence (2021)
Clinical-standard images were generated from subsampled images by using a DNIF.Keywords: Image Postprocessing, MR-Diffusion-weighted Imaging, Neural Networks, Oncology, Whole-Body Imaging, Supervised Learning, MR-Functional Imaging, Metastases, Prostate, Lung Supplemental material is available for this article. Published under a CC BY 4.0 license.
Keyphrases
- contrast enhanced
- deep learning
- diffusion weighted
- diffusion weighted imaging
- convolutional neural network
- magnetic resonance imaging
- magnetic resonance
- neural network
- computed tomography
- machine learning
- artificial intelligence
- high resolution
- prostate cancer
- palliative care
- optical coherence tomography
- mass spectrometry