Lumen centerline detection in complex coronary angiograms

Milan Sonka; Michael D Winniford; Xiangmin Zhang; Steve M Collins

doi:10.1109/10.293239

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Journal article

Lumen centerline detection in complex coronary angiograms

Milan Sonka, Michael D Winniford, Xiangmin Zhang and Steve M Collins

IEEE transactions on biomedical engineering, Vol.41(6), pp.520-528

06/1994

DOI: 10.1109/10.293239

PMID: 7927371

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Abstract

We have developed a method for lumen centerline detection in individual coronary segments that is based on simultaneous detection of the approximate positions of the left and right coronary borders. This approach emulates that of a clinician who visually identifies the lumen centerline as the midline between the simultaneously-determined left and right borders of the vessel segment of interest. Our lumen centerline detection algorithm and two conventional centerline detection methods were compared to carefully-defined observer-identified centerlines in 89 complex coronary images. Computer-detected and observer-defined centerlines were objectively compared using five indices of centerline position and orientation. The quality of centerlines obtained with the new simultaneous border identification approach and the two conventional centerline detection methods was also subjectively assessed by an experienced cardiologist who was unaware of the analysis method. Our centerline detection method yielded accurate centerlines in the 89 complex images. Moreover, our method outperformed the two conventional methods as judged by all five objective parameters (p < 0.001 for each parameter) and by the subjective assessment of centerline quality (p < 0.001). Automated detection of lumen centerlines based on simultaneous detection of both coronary borders provides improved accuracy in complex coronary arteriograms.

Algorithms

Single-Blind Method

Coronary Disease - pathology

Reproducibility of Results

Coronary Angiography - methods

Humans

Sensitivity and Specificity

Coronary Disease - diagnostic imaging

Image Processing, Computer-Assisted - methods

Evaluation Studies as Topic

Observer Variation

Details

Title: Subtitle: Lumen centerline detection in complex coronary angiograms
Creators: Milan Sonka - Department of Electrical and Computer Engineering, University of Iowa, Iowa City 52242
Michael D Winniford
Xiangmin Zhang
Steve M Collins
Resource Type: Journal article
Publication Details: IEEE transactions on biomedical engineering, Vol.41(6), pp.520-528
DOI: 10.1109/10.293239
PMID: 7927371
NLM abbreviation: IEEE Trans Biomed Eng
ISSN: 0018-9294
eISSN: 1558-2531
Publisher: United States
Language: English
Date published: 06/1994
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: 9984047676902771

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