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
- machine learning
- clinical practice
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- prostate cancer
- virtual reality
- big data
- deep learning
- convolutional neural network
- electronic health record
- high speed
- artificial intelligence
- image quality
- data analysis