Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.
Kaioqiong SunJayaram K. UdupaDewey OdhnerYubing TongDrew A. TorigianPublished in: Medical Imaging: Image-Guided Procedures (2014)
Keyphrases
- ct images
- inter patient
- fuzzy model
- ct scans
- medical imaging
- anatomical knowledge
- medical images
- pet ct
- computed tomography
- rigid registration
- pet images
- image registration
- registration accuracy
- lung nodules
- anatomical structures
- computer tomography
- image guided
- imaging modalities
- pulmonary nodules
- medical image analysis
- input output
- fracture detection
- fuzzy clustering
- region of interest
- membership functions
- fuzzy rules
- fuzzy sets
- magnetic resonance imaging
- rule base
- magnetic resonance images
- treatment planning
- clinical applications
- medical image processing
- fully automatic
- computer aided diagnosis
- ct data
- radiation therapy
- lung parenchyma
- vessel segmentation
- magnetic resonance
- image segmentation
- medical image segmentation
- left ventricle
- registration framework
- contrast enhanced
- x ray
- image analysis
- image processing
- computer vision
- remote sensing
- segmentation algorithm
- fuzzy logic
- neural network