A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities.
Huayang DuXin SuiRuijie ZhaoJiaru WangYing MingSirong PiaoJinhua WangZhuangfei MaYun WangLan SongWei SongPublished in: BMC Medical Imaging (2024)
Keyphrases
- post processing
- deep learning
- contrast enhancement
- image quality
- computed tomography
- visual quality
- low dose
- ct images
- contrast enhanced
- medical images
- medical imaging
- image reconstruction
- image enhancement
- reconstructed image
- ct scans
- unsupervised learning
- three dimensional
- human visual system
- preprocessing
- image data
- low contrast
- bit rate
- gray level
- ct data
- machine learning
- high quality
- multiscale
- color images
- x ray
- human experts
- learning algorithm
- feature extraction
- high frequency
- natural images
- image processing
- error diffusion
- domain specific
- knowledge discovery
- multiresolution