TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution

• Published in: The Visual computer Vol. 39; no. 8; pp. 3647 - 3659
• Main Authors: Huang, Shan, Liu, Xiaohong, Tan, Tao, Hu, Menghan, Wei, Xiaoer, Chen, Tingli, Sheng, Bin
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023; Springer Nature B.V
• Subjects: Artificial Intelligence; Brain; Codes; Computer Graphics; Computer Science; Deep learning; Feature extraction; High resolution; Image acquisition; Image Processing and Computer Vision; Image reconstruction; Image resolution; Magnetic resonance imaging; Medical imaging; Modules; Neural networks; Original Article; Semantics; Transformers; Super-resolution; Generative piror; Transformer; Magnetic resonance images

Magnetic resonance images (MRI) acquired with low through-plane resolution compromise time and cost. The poor resolution in one orientation is insufficient to meet the requirement of high resolution for early diagnosis of brain disease and morphometric study. The common single-image super-resolution...