SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy.
Xinru ChenYao ZhaoLaurence E. CourtHe WangTinsu PanJack PhanXin WangYao DingJinzhong YangPublished in: Comput. Medical Imaging Graph. (2024)
Keyphrases
- mr images
- medical images
- magnetic resonance
- inter patient
- magnetic resonance images
- computed tomography
- manual segmentation
- surface based registration
- mri data
- ct images
- anatomical structures
- medical imaging
- imaging modalities
- magnetic resonance imaging
- nonrigid registration
- mri images
- medical image analysis
- image data
- contrast enhanced
- accurate segmentation
- image intensity
- brain mr images
- computer aided diagnosis
- region of interest
- brain tissue
- brain structures
- computer tomography
- mr imaging
- inter subject
- partial volume
- three dimensional
- ct data
- brain tumors
- clinical applications
- phantom images
- intensity inhomogeneity
- bias field
- cardiac magnetic resonance
- treatment planning
- prostate cancer
- brain images
- ct scans
- soft tissue
- image registration
- image analysis