Improved disparity based image processing in 3D CT subtractive angiography
Language English Country United States Media print
Document type Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Algorithms MeSH
- Artifacts * MeSH
- Models, Biological MeSH
- Angiography, Digital Subtraction methods MeSH
- Humans MeSH
- Tomography, X-Ray Computed methods MeSH
- Radiographic Image Interpretation, Computer-Assisted methods MeSH
- Reproducibility of Results MeSH
- Pattern Recognition, Automated methods MeSH
- Sensitivity and Specificity MeSH
- Subtraction Technique MeSH
- Radiographic Image Enhancement methods MeSH
- Imaging, Three-Dimensional methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
The paper describes a set of approaches and routines designed to improve results in CT based 3D subtractive angiography of lower extremities via better global locally defined image data registration. Starting from the generic concept of 3D disparity-based flexible registration, modifications of this idea are made founded on prior anatomical knowledge, as segmentation into individual bone areas, their rigid registration followed by constrained flexible registration, and flexible registration of soft tissue volumes. After final subtraction, fusion of the individually derived volumes into the full volume of extremities provides the medically assessable results. The level of detail in minor vessels, and continuity of vessels including those in direct contact with the bones, have been found much better clinically than those achieved by standard contemporary commercial software.
References provided by Crossref.org
Novel registration-based framework for CT angiography in lower legs