0000000000910331

AUTHOR

T. Dietz

showing 1 related works from this author

Graph-matching based CTA.

2009

Separating bone, calcification, and vessels in computer tomography angiography (CTA) allows for a detailed diagnosis of vessel stenosis. This paper presents a new, graph-based technique that solves this difficult problem with high accuracy. The approach requires one native data set and one that is contrast enhanced. On each data set, an attributed level-graph is derived and both graphs are matched by dynamic programming to differentiate between bone, on one hand side, and vessel/calcification on the other hand side. Lumen and calcified regions are then separated by a profile technique. Evaluation is based on data from vessels of pelvis and lower extremities of elderly patients. Due to subst…

medicine.medical_specialtyMatching (graph theory)Computer scienceComputed tomographySensitivity and SpecificityPattern Recognition AutomatedArtificial IntelligencemedicineHumansSegmentationElectrical and Electronic EngineeringPelvisPeripheral Vascular DiseasesRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryAngiographyReproducibility of ResultsPattern recognitionNumerical Analysis Computer-AssistedImage segmentationmedicine.diseaseComputer Science ApplicationsRadiographic Image EnhancementStenosismedicine.anatomical_structureSubtraction TechniqueAngiographyRadiographic Image Interpretation Computer-AssistedRadiologyTomographyArtificial intelligencebusinessTomography X-Ray ComputedSoftwareAlgorithmsCalcificationIEEE transactions on medical imaging
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