Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging.
Mohammad-Saber AzimiAlireza Kamali-AslMohammad-Reza AyNavid ZeraatkarMahboubeh-Sadat HosseiniAmirhossein SanaatHabibollah DadgarHossein ArabiPublished in: Quantitative imaging in medicine and surgery (2024)
. FD). When no magnetic resonance imaging (MRI) images are available, the developed deep learning models could be used for partial volume correction on LD or standard PET-computed tomography (PET-CT) scans as an image quality enhancement technique.
Keyphrases
- computed tomography
- positron emission tomography
- deep learning
- image quality
- magnetic resonance imaging
- contrast enhanced
- pet ct
- low dose
- dual energy
- convolutional neural network
- artificial intelligence
- machine learning
- pet imaging
- high resolution
- diffusion weighted imaging
- high dose
- photodynamic therapy
- optical coherence tomography