Reconstruction of coronary arteries from X-ray angiography: A review

Çimen, Serkan; Gooya, Ali; Graß, Michael; Frangi, Alejandro F.

doi:10.1016/j.media.2016.02.007

Cited by 79 publications

(41 citation statements)

References 139 publications

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“…Coronary artery disease (CAD) is a common disease and main cause of death worldwide [1]. C-arm based percutaneous coronary intervention (PCI) is a common procedure for the diagnosis and treatment of CAD, in which X-ray coronary angiography is one of the most commonly utilized method to assess CAD and is still considered as the gold standard in clinical procedures [1].…”

Section: Introductionmentioning

confidence: 99%

“…C-arm based percutaneous coronary intervention (PCI) is a common procedure for the diagnosis and treatment of CAD, in which X-ray coronary angiography is one of the most commonly utilized method to assess CAD and is still considered as the gold standard in clinical procedures [1]. However, due to its projection characteristic, X-ray coronary angiography suffers from some clinical limitations, such as vessel overlap, loss of 3D spatial information.…”

Section: Introductionmentioning

confidence: 99%

“…For example, it can be directly used for guiding PCI without the need of complicated registration process [3]. However, because of the vessel motion induced by respiratory and heart beating, accurate 3D reconstruction of coronary vessels still remains a challenge [1]. Poor reconstruction affects the accuracy of the quantitative coronary analysis (QCA) measurement, such as the length and diameter of the vessel branch or lesion.…”

Section: Introductionmentioning

confidence: 99%

“…Poor reconstruction affects the accuracy of the quantitative coronary analysis (QCA) measurement, such as the length and diameter of the vessel branch or lesion. Inaccurate measurement may lead to incorrect selection of treatment apparatus and would reduce the effectiveness of the treatment consequently [1].…”

Section: Introductionmentioning

confidence: 99%

“…Motion compensation is a commonly used technique in tomographic reconstruction of moving objects [1,13]. For 3D coronary artery reconstruction, the motion of coronary artery is firstly estimated by some kinds of registration and then compensated in the reconstruction process using dynamic reconstruction methods [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Local motion-compensated method for high-quality 3D coronary artery reconstruction

Liu

Bai

Zhou

2016

Biomed. Opt. Express

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Abstract:The 3D reconstruction of coronary artery from X-ray angiograms rotationally acquired on C-arm has great clinical value. While cardiac-gated reconstruction has shown promising results, it suffers from the problem of residual motion. This work proposed a new local motion-compensated reconstruction method to handle this issue. An initial image was firstly reconstructed using a regularized iterative reconstruction method. Then a 3D/2D registration method was proposed to estimate the residual vessel motion. Finally, the residual motion was compensated in the final reconstruction using the extended iterative reconstruction method. Through quantitative evaluation, it was found that high-quality 3D reconstruction could be obtained and the result was comparable to state-of-the-art method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Local motion-compensated method for high-quality 3D coronary artery reconstruction

Liu

Bai

Zhou

2016

Biomed. Opt. Express

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Consistency‐based respiratory motion estimation in rotational angiography

et al. 2017

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Purpose: Rotational coronary angiography enables 3D reconstruction but suffers from intra-scan cardiac and respiratory motion. While gating handles cardiac motion, respiratory motion requires compensation. State-of-the-art algorithms rely on 3D-2D registration that depends on initial reconstructions of sufficient quality. We propose a compensation method that is applied directly in projection domain. It overcomes the need for reconstruction and thus complements the state-of-the-art. Methods: Virtual single-frame background subtraction based on vessel segmentation and spectral deconvolution yields non-truncated images of the contrasted lumen. This allows motion compensation based on data consistency conditions. We compensate craniocaudal shifts by optimizing epipolar consistency to (a) devise an image-based surrogate for cardiac motion and (b) compensate for respiratory motion. We validate our approach in two numerical phantom studies and three clinical cases. Results: Correlation of the image-based surrogate for cardiac motion with the ECG-based ground truth was excellent yielding a Pearson correlation of 0.93 AE 0.04. Considering motion compensation, the target error measure decreased by 98% and 69%, respectively, for the phantom experiments while for the clinical cases the same figure of merit improved by 46 AE 21%. Conclusions: The proposed method is entirely image-based and accurately estimates craniocaudal shifts due to respiration and cardiac contraction. Future work will investigate experimental trajectories and possibilities for simplification of the single-frame subtraction pipeline.

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