CT-based volumetric strain imaging via a deep learning registration framework.
Yabo FuYang LeiTonghe WangJustin RoperMarian AxenteJeffrey D. BradleyTian LiuKristin HigginsXiaofeng YangPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Keyphrases
- deep learning
- registration framework
- medical imaging
- deformable registration
- medical image analysis
- clinical applications
- nonrigid registration
- image registration
- inter patient
- medical images
- computed tomography
- ct images
- surface registration
- unsupervised learning
- image analysis
- x ray
- three dimensional
- imaging modalities
- machine learning
- deformation field
- image processing
- weakly supervised
- b spline
- anatomical structures
- magnetic resonance images
- mutual information
- image segmentation
- intraoperative
- brain tumors
- magnetic resonance imaging
- high resolution
- prostate cancer
- statistical shape model
- computer vision
- brain images
- mental models
- magnetic resonance
- object detection
- registration accuracy
- shape model
- deformable models
- multi view
- pattern recognition
- reinforcement learning
- similarity measure
- feature extraction