Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time.
Martin JurkaIva MacovaMonika WagnerovaOtakar CapounRoman JakubicekPetr OurednicekLukas LambertAndrea BurgetováPublished in: Quantitative imaging in medicine and surgery (2024)
T2-TSE acquisition of the prostate accelerated using CS combined with DLR reconstruction provides images with increased sharpness that have a superior quality as perceived by human readers compared to standard T2-TSE. The perceived image quality is correlated with measured image contrast.
Keyphrases
- image quality
- deep learning
- computed tomography
- contrast enhanced
- prostate cancer
- magnetic resonance imaging
- social support
- convolutional neural network
- benign prostatic hyperplasia
- depressive symptoms
- magnetic resonance
- physical activity
- dual energy
- artificial intelligence
- mental health
- endothelial cells
- machine learning
- induced pluripotent stem cells
- quality improvement
- pluripotent stem cells
- optical coherence tomography