ArticleThe international journal of cardiovascular imaging2009
Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models.
Article in The international journal of cardiovascular imaging, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 34 citations in OpenAlex.
- Deep learning-based end-to-end automated stenosis classification and localization on catheter coronary angiography.Frontiers in cardiovascular medicine · 2023Article
- Viewpoint planning for quantitative coronary angiography.International journal of computer assisted radiology and surgery · 2018Article
- Dual-Axis Rotational Angiography is Safe and Feasible to Detect Coronary Allograft Vasculopathy in Pediatric Heart Transplant Patients: A Single-Center Experience.Pediatric cardiology · 2016Article
- Optimized viewing angles for cardiac electrophysiology ablation procedures.International journal of computer assisted radiology and surgery · 2015Article
- Dual-axis rotational coronary angiography: a new technique for detecting graft coronary vasculopathy in pediatric heart transplant recipients.Pediatric cardiology · 2013Article
- Cardiovascular imaging 2010 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2011Review
- Calibration-free device sizing using an inverse geometry x-ray system.Medical physics · 2011Article
- A novel dual-axis rotational coronary angiography evaluation of coronary artery disease--case presentation and review.Clinical cardiology · 2010Review
- Optimization of acquisition trajectories for 3D rotational coronary venography.International journal of computer assisted radiology and surgery · 2010Review
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current expert-recommended views for coronary angiography are based on heuristic experience and have not been scientifically studied. We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of minimizing vessel foreshortening and overlap. Using orthogonal 2D images of the coronary tree, 3D models were created from which patient-specific optimal view maps (OVM) allowing quantitative assessment of vessel foreshortening and overlap were generated. Using a novel methodology that averages 3D-based optimal projection geometries, a universal OVM was created for each individual coronary vessel segment that minimized both vessel foreshortening and overlap. A universal OVM model for each coronary segment was generated based on data from 137 patients undergoing coronary angiography. We identified viewing regions for each vessel segment achieving a mean vessel foreshortening value of 5.8 +/- 3.9% for the left coronary artery (LCA) and 5.6 +/- 3.6% for the right coronary artery (RCA). The overall mean overlap values achieved were 8.7 +/- 7.9% for the LCA and 4.6 +/- 3.2% for the RCA. This scientifically-based OVM evaluation of coronary vessel segments provides the means to facilitate acquisitions during coronary angiography and interventions that minimize imaging inaccuracies related to foreshortening and overlap, improving the accuracy, efficiency, and safety of diagnostic and interventional coronary procedures.
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