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Improved disparity based image processing in 3D CT subtractive angiography
J. Jan, M. Malinsky, R. Peter, P. Ourednicek
Jazyk angličtina Země Spojené státy americké
Typ dokumentu hodnotící studie, časopisecké články, práce podpořená grantem
- MeSH
- algoritmy MeSH
- artefakty MeSH
- biologické modely MeSH
- digitální subtrakční angiografie metody MeSH
- lidé MeSH
- počítačová rentgenová tomografie metody MeSH
- rentgenový obraz - interpretace počítačová metody MeSH
- reprodukovatelnost výsledků MeSH
- rozpoznávání automatizované metody MeSH
- senzitivita a specificita MeSH
- subtrakční technika MeSH
- vylepšení rentgenového snímku metody MeSH
- zobrazování trojrozměrné metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem 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.
Department of Biomedical Engineering Brno University of Technology Brno Czech Republic
Dept of Biomedical Engineering FEEC Brno University of Technology Czech Republic
Citace poskytuje Crossref.org
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- $a 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.
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