Evidence map›Paper›PMID 19885737›Full record

ArticleThe international journal of cardiovascular imaging2010

3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography.

Rui Liao, Duong Luc, Yiyong Sun, Klaus Kirchberg

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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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography.International journal of computer assisted radiology and surgery · 2025
    Article
  2. Article
  3. [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 · 2022
    Article
  4. 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 · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. 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 · 2016
    Observational
  9. Article
  10. Article
  11. Multimodality Imaging in Congenital Heart Disease: an Update.Current cardiovascular imaging reports · 2012
    Review
  12. Article
  13. Article
  14. Cardiovascular imaging 2010 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2011
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rui LiaoImaging & Visualization Department, Siemens Corporate Research, Princeton, NJ 08540, USA. rui.liao@siemens.com
Duong Luc
Yiyong Sun
Klaus Kirchberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Imaging, Three-DimensionalRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAlgorithmsAnimalsCoronary AngiographyCoronary Artery DiseaseHumansPhantoms, ImagingPredictive Value of TestsReproducibility of ResultsRotationSwine

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.