Adaptive simultaneous coronary border detection: a method for accurate analysis of small diameter vessels

Milan Sonka; Gautami K Reddy; Michael D Winniford; Steve M Collins

doi:10.1109/CIC.1993.378492

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Conference proceeding

Adaptive simultaneous coronary border detection: a method for accurate analysis of small diameter vessels

Milan Sonka, Gautami K Reddy, Michael D Winniford and Steve M Collins

Proceedings of Computers in Cardiology Conference, pp.109-112

1993

DOI: 10.1109/CIC.1993.378492

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Abstract

Accurate automated identification of coronary borders is difficult to achieve in vessels smaller than 1 mm. In diameter using existing techniques. The authors new approach uses a two-stage automated adaption of edge operator parameters to match the local lumen diameter. In the first stage, approximate lumen diameters are detected using a half-resolution simultaneous coronary border detection algorithm. At each point along the vessel, the approximate diameter is used to select an optimal edge operator for the second full-resolution border detection stage. The method was tested in a set of 72 segments of 9 angiographic phantom vessels with diameters ranging from 0.46 mm to 4.14 mm. Performance of the adaptive method was compared to performance of a conventional coronary border detection, method. Adaptive simultaneous coronary border detection significantly reduced diameter estimation errors in comparison to conventional border detection (p<0.001). Adaptive coronary border detection substantially improves border detection accuracy in small diameter phantom vessels.< >

Radiology

Biomedical imaging

Cities and towns

Detectors

Digital audio players

Electrical capacitance tomography

Image edge detection

Imaging phantoms

Testing

Uncertainty

Details

Title: Subtitle: Adaptive simultaneous coronary border detection: a method for accurate analysis of small diameter vessels
Creators: Milan Sonka - University of Iowa
Gautami K Reddy - University of Iowa
Michael D Winniford - University of Iowa
Steve M Collins - University of Iowa
Resource Type: Conference proceeding
Publication Details: Proceedings of Computers in Cardiology Conference, pp.109-112
DOI: 10.1109/CIC.1993.378492
ISSN: 0276-6574
eISSN: 2325-8853
Publisher: IEEE Comput. Soc. Press
Language: English
Date published: 1993
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186924502771

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