Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI.
Batuhan GundogduMilica MedvedAritrick ChatterjeeRoger EngelmannAvery RosadoGrace LeeNisa C OrenAytekin OtoGregory S KarczmarPublished in: Magnetic resonance in medicine (2024)
High-resolution details in DWI can be obtained without the need for high-resolution training data. One notable advantage of the proposed method is that it does not require a super-resolution training set. This is important in clinical practice because the proposed method can easily be adapted to images with different scanner settings or body parts, whereas the supervised methods do not offer such an option.
Keyphrases
- diffusion weighted
- contrast enhanced
- high resolution
- magnetic resonance imaging
- clinical practice
- machine learning
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- prostate cancer
- virtual reality
- mass spectrometry
- deep learning
- convolutional neural network
- big data
- optical coherence tomography
- electronic health record
- benign prostatic hyperplasia
- high speed
- data analysis
- dual energy