Comparison of model-based versus deep learning-based image reconstruction for thin-slice T2-weighted spin-echo prostate MRI.
Stephen J RiedererEric A BorischAdam T FroemmingAkira KawashimaNaoki TakahashiPublished in: Abdominal radiology (New York) (2024)
The deep learning reconstruction method provides significant SNR improvement in thin-slice (1 mm) T2SE images of the prostate while retaining image contrast. However, if taken to too high a level (DL High), both radiological sharpness and fidelity of contrast diminish.
Keyphrases
- deep learning
- contrast enhanced
- magnetic resonance
- prostate cancer
- convolutional neural network
- diffusion weighted
- magnetic resonance imaging
- artificial intelligence
- diffusion weighted imaging
- machine learning
- benign prostatic hyperplasia
- computed tomography
- room temperature
- single molecule
- image quality
- network analysis
- optical coherence tomography
- dual energy
- ionic liquid