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Diameter Measurement of Vascular Structures in Ultrasound Video Sequences

  • Diameter measurements of vessel structures are of interest for a number of cardiovascular examinations. To support manual analysis of duplex ultrasound (US) images of human vessels and to improve the measurement accuracy and reproducibility, a semi-automatic approach has been developed which applies image processing techniques to compute reliably the vessel diameter. The proposed approach presents an interactive tool for measuring vessel diameters from US image sequences. A first derivative of a Gaussian (DoG) is applied for vessel wall detection followed up by a skeletonization step, and computation of horizontal line segments. Within a final classification step those line segments which show the highest likelihood are selected. The classification score is computed based on length, edge strength and linearity information. The overall approach has been evaluated at several sample sequences showing results outperforming “manual” measurements. It is currently applied in physiological studies.

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Metadaten
Document Type:Conference Object
Language:English
Author:Matthias Bremser, Uwe Mittag, Tobias Weber, Jörn Rittweger, Rainer Herpers
Parent Title (Multiple languages):Tolxdorff, Deserno et al. (Hg.): Bildverarbeitung für die Medizin 2012. Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 18. bis 20. März 2012 in Berlin
First Page:165
Last Page:170
ISBN:978-3-642-28501-1
DOI:https://doi.org/10.1007/978-3-642-28502-8_30
Publisher:Springer
Place of publication:Berlin, Heidelberg
Date of first publication:2012/03/16
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02