Back to Search
Start Over
A new adaptive probabilistic model of blood vessels for segmenting MRA images.
- Source :
-
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2006; Vol. 9 (Pt 2), pp. 799-806. - Publication Year :
- 2006
-
Abstract
- A new physically justified adaptive probabilistic model of blood vessels on magnetic resonance angiography (MRA) images is proposed. The model accounts for both laminar (for normal subjects) and turbulent blood flow (in abnormal cases like anemia or stenosis) and results in a fast algorithm for extracting a 3D cerebrovascular system from the MRA data. Experiments with synthetic and 50 real data sets confirm the high accuracy of the proposed approach.
- Subjects :
- Computer Simulation
Humans
Models, Cardiovascular
Models, Statistical
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Artificial Intelligence
Blood Vessels anatomy & histology
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Magnetic Resonance Angiography methods
Pattern Recognition, Automated methods
Subjects
Details
- Language :
- English
- Volume :
- 9
- Issue :
- Pt 2
- Database :
- MEDLINE
- Journal :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
- Publication Type :
- Academic Journal
- Accession number :
- 17354846
- Full Text :
- https://doi.org/10.1007/11866763_98