Vessel Segmentation for Noisy CT Data with Quality Measure Based on Single-Point Contrast-to-Noise Ratio.
Artem V. NikonorovA. KolsanovMaksim V. PetrovYuriy V. YuzifovichEvgeny PrilepinS. ChaplyginP. ZelterK. BychenkovPublished in: ICETE (Selected Papers) (2015)
Keyphrases
- single point
- quality measures
- vessel segmentation
- ct data
- automatic segmentation
- patient specific
- intraoperative
- ct scans
- computed tomography
- region growing
- medical images
- blood vessels
- statistical shape model
- retinal images
- image guided
- ct images
- segmentation algorithm
- x ray
- region of interest
- point correspondences
- low contrast
- computer assisted
- contrast enhanced
- light source
- magnetic resonance images
- medical imaging
- image reconstruction
- coronary artery
- image processing
- magnetic resonance imaging
- image registration
- image data
- pattern recognition
- three dimensional
- image segmentation
- machine learning