ArticleThe international journal of cardiovascular imaging2010
3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography.
Article in The international journal of cardiovascular imaging, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography.International journal of computer assisted radiology and surgery · 2025Article
- A multi-stage neural network approach for coronary 3D reconstruction from uncalibrated X-ray angiography images.Scientific reports · 2023Article
- [An optimized segmentation of main vessel in coronary angiography images via removing the overlapping pacemaker].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2022Article
- Coronary Vessel Segmentation by Coarse-to-Fine Strategy Using U-nets.BioMed research international · 2021Article
- Article
- An Automatic 3-D Reconstruction of Coronary Arteries by Stereopsis.Journal of medical systems · 2016Article
- When is rotational angiography superior to conventional single-plane angiography for planning coronary angioplasty?Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2016Observational
- Parameterisation of multi-scale continuum perfusion models from discrete vascular networks.Medical & biological engineering & computing · 2013Article
- Automatic vasculature identification in coronary angiograms by adaptive geometrical tracking.Computational and mathematical methods in medicine · 2013Article
- Multimodality Imaging in Congenital Heart Disease: an Update.Current cardiovascular imaging reports · 2012Review
- Accessing 3D Location of Standing Pelvis: Relative Position of Sacral Plateau and Acetabular Cavities versus Pelvis.Radiology research and practice · 2012Article
- Rui Liao's work on patient-specific 3-D model guidance for interventional and hybrid-operating-room applications.World journal of radiology · 2011Article
- Cardiovascular imaging 2010 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2011Review
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4 authors.
Funding
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Abstract
To present an efficient and robust method for 3-D reconstruction of the coronary artery tree from multiple ECG-gated views of an X-ray angiography. 2-D coronary artery centerlines are extracted automatically from X-ray projection images using an enhanced multi-scale analysis. For the difficult data with low vessel contrast, a semi-automatic tool based on fast marching method is implemented to allow manual correction of automatically-extracted 2-D centerlines. First, we formulate the 3-D symbolic reconstruction of coronary arteries from multiple views as an energy minimization problem incorporating a soft epipolar line constraint and a smoothness term evaluated in 3-D. The proposed formulation results in the robustness of the reconstruction to the imperfectness in 2-D centerline extraction, as well as the reconstructed coronary artery tree being inherently smooth in 3-D. We further propose to solve the energy minimization problem using α-expansion moves of Graph Cuts, a powerful optimization technique that yields a local minimum in a strong sense at a relatively low computational complexity. We show experimental results on a synthetic coronary phantom, a porcine data set and 11 patient data sets. For the coronary phantom, results obtained using different number of views are presented. 3-D reconstruction error evaluated by the mean plus one standard deviation is below one millimeter when 4 or more views are used. For real data, reconstruction using 4 to 5 views and 256 depth labels averaged around 12 s on a computer with 2.13 GHz Intel Pentium M and achieves a mean 2-D back-projection error of 1.18 mm (ranging from 0.84 to 1.71 mm) in 12 cases. The accuracy for multi-view reconstruction of the coronary artery tree as reported from the phantom and patient studies is promising, and the efficiency is significantly improved compared to other approaches reported in the literature, which range from a few to tens of minutes. Visually good and smooth reconstruction is demonstrated.
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