A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans.
Carmelo MilitelloLeonardo RundoPatrizia ToiaVincenzo ContiGiorgio RussoClarissa FilorizzoErica MaffeiFilippo CademartiriLudovico La GruttaMassimo MidiriSalvatore VitabilePublished in: Comput. Biol. Medicine (2019)
Keyphrases
- semi automatic
- fully automatic
- left ventricle
- ct scans
- short axis
- automatically segmenting
- ct images
- computer tomography
- computed tomography
- automatic segmentation
- x ray
- fracture detection
- manual segmentation
- medical images
- organ segmentation
- gold standard
- electrical activity
- deformable models
- ct data
- mri data
- fully automated
- segmentation algorithm
- image analysis
- image segmentation
- ct imaging
- computer aided diagnosis
- region of interest
- cardiac cycle
- rigid registration
- left ventricular
- low contrast
- bias field
- medical imaging
- adipose tissue
- registration accuracy
- shape prior
- region growing
- level set
- accurate segmentation
- image reconstruction
- remote sensing
- image registration
- magnetic resonance imaging
- high quality
- three dimensional
- image processing
- patient specific