Multichannel Residual Conditional GAN-Leveraged Abdominal Pseudo-CT Generation via Dixon MR Images.
Ke XuJiawei CaoKaijian XiaHuan YangJunqing ZhuChunying WuYizhang JiangPengjiang QianPublished in: IEEE Access (2019)
Keyphrases
- mr images
- medical images
- magnetic resonance
- ct data
- magnetic resonance images
- contrast enhanced
- computed tomography
- ct images
- respiratory motion
- manual segmentation
- prostate cancer
- mr imaging
- nonrigid registration
- surgical procedures
- mri data
- inter patient
- imaging modalities
- pre operative
- medical imaging
- accurate segmentation
- anatomical structures
- mri images
- image intensity
- automated segmentation
- phantom images
- ct scans
- computer aided diagnosis
- soft tissue
- magnetic resonance imaging
- image data
- medical image analysis
- image volumes
- automatic segmentation
- deformable registration
- brain structures
- intensity inhomogeneity
- partial volume
- x ray
- deformable models
- region of interest
- intraoperative
- brain tissue
- image processing
- image registration
- human brain
- structuring elements
- image reconstruction
- segmentation method
- brain tumors
- clinical applications
- multi channel
- three dimensional