C-arm CT: Reconstruction of dynamic high contrast objects applied to the coronary sinus

Rohkohl, Christopher; Lauritsch, Guenter; Nöttling, Alois; Prümmer, Marcus; Hornegger, Joachim

doi:10.1109/nssmic.2008.4774387

Cited by 19 publications

(40 citation statements)

References 15 publications

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“…The shape of the windowing function introduces a weighting to X-ray images depending on temporal distance of X-ray image to the selected phase. Most commonly used windowing functions are nearest-neighbour (Schäfer et al, 2006;Rasche et al, 2006b) or power of cosine function (Schäfer et al, 2006;Rohkohl et al, 2008a;Schwemmer et al, 2013b). The nearest-neighbour function selects the image that is closest to the selected cardiac phase.…”

Section: Handling Of Cardiac and Respiratory Motionmentioning

confidence: 99%

“…One popular choice is cosine squared windowing function (Schäfer et al, 2006). A more general family of cosine functions, namely power of cosines, are introduced in (Rohkohl et al, 2008a). Specifically, the shape of the windowing function is controlled using a parameter describing the power of the cosine function.…”

Section: Handling Of Cardiac and Respiratory Motionmentioning

confidence: 99%

“…If the size of the window is increased, it possibly reduces the background artifacts but it leads to a blurred reconstruction due to motion (Schäfer et al, 2006). These motion corrupted reconstructions are not satisfactory for clinical purposes, however they can be benefited as an initial coarse reconstruction for a motion compensated reconstruction (Rohkohl et al, 2008a(Rohkohl et al, , 2009bSchwemmer et al, 2013b,a).…”

Section: Gated Tomographic Reconstructionmentioning

confidence: 99%

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

Çimen

Gooya

Graß

et al. 2016

Medical Image Analysis

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Despite continuous progress in X-ray angiography systems, X-ray coronary angiography is fundamentally limited by its 2D representation of moving coronary arterial trees, which can negatively impact assessment of coronary artery disease and guidance of percutaneous coronary intervention. To provide clinicians with 3D/3D+time information of coronary arteries, methods computing reconstructions of coronary arteries from X-ray angiography are required. Because of several aspects (e.g. cardiac and respiratory motion, type of X-ray system), reconstruction from X-ray coronary angiography has led to vast amount of research and it still remains as a challenging and dynamic research area. In this paper, we review the state-of-the-art approaches on reconstruction of high-contrast coronary arteries from X-ray angiography. We mainly focus on the theoretical features in model-based (modelling) and tomographic reconstruction of coronary arteries, and discuss the evaluation strategies. We also discuss the potential role of reconstructions in clinical decision making and interventional guidance, and highlight areas for future research.

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Section: Handling Of Cardiac and Respiratory Motionmentioning

confidence: 99%

Section: Handling Of Cardiac and Respiratory Motionmentioning

confidence: 99%

Section: Gated Tomographic Reconstructionmentioning

confidence: 99%

See 1 more Smart Citation

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

Çimen

Gooya

Graß

et al. 2016

Medical Image Analysis

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“…A formal derivation of this post-processing step was presented in (Rohkohl et al 2008). In practice, streak reduction is integrated into the reconstruction as follows:…”

Section: Initial Reconstructionmentioning

confidence: 99%

“…In addition, ECG-gating sparsifies data and therefore reconstruction becomes a strongly ill-posed problem, limiting the quality and usability of the resulting 3-D data. To compensate for this, not a strict gating, but a temporal window with a certain width around the selected motion state is used (Rohkohl et al 2008). A wider gating window is desirable to get a high signal-tonoise ratio and little undersampling artefacts, but then the residual motion in the gated projection data corrupts image quality.…”

Section: Introductionmentioning

confidence: 99%

Residual motion compensation in ECG-gated interventional cardiac vasculature reconstruction

Schwemmer¹,

Rohkohl²,

Lauritsch³

et al. 2013

Phys. Med. Biol.

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Abstract. 3-D reconstruction of cardiac vasculature from angiographic C-arm CT (rotational angiography) data is a major challenge. Motion artefacts corrupt image quality, reducing usability for diagnosis and guidance. Many state-of-theart approaches depend on retrospective ECG-gating of projection data for image reconstruction. A trade-off has to be made regarding the size of the ECG-gating window. A large temporal window is desirable to avoid undersampling. However, residual motion will occur in a large window, causing motion artefacts.We present an algorithm to correct for residual motion. Our approach is based on a deformable 2-D-2-D registration between the forward projection of an initial, ECG-gated reconstruction, and the original projection data. The approach is fully automatic and does not require any complex segmentation of vasculature, or landmarks. The estimated motion is compensated for during the backprojection step of a subsequent reconstruction. We evaluated the method using the publicly available cavarev platform and on six human clinical datasets. We found a better visibility of structure, reduced motion artefacts, and increased sharpness of the vessels in the compensated reconstructions compared to the initial reconstructions. At the time of writing, our algorithm outperforms the leading result of the cavarev ranking list. For the clinical datasets, we found an average reduction of motion artefacts by 13±6%. Vessel sharpness was improved by 25±12% on average.

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Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption

Rohkohl

Lauritsch

Prümmer

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract. Anatomical and functional information of cardiac vasculature is a key component of future developments in the field of interventional cardiology. With the technology of C-arm CT it is possible to reconstruct intraprocedural 3-D images from angiographic projection data. Current approaches attempt to add the temporal dimension (4-D) by ECG-gating in order to distinct physical states of the heart. This model assumes that the heart motion is periodic. However, frequently arrhytmic heart signals are observed in a clinical environment. In addition breathing motion can still occur. We present a reconstruction method based on a 4-D time-continuous motion field which is parameterized by the acquisition time and not the quasi-periodic heart phase. The output of our method is twofold. It provides a motion compensated 3-D reconstruction (anatomic information) and a motion field (functional information). In a physical phantom experiment a vessel of size 3.08 mm undergoing a non-periodic motion was reconstructed. The resulting diameters were 3.42 mm and 1.85 mm assuming non-periodic and periodic motion, respectively. Further, for two clinical cases (coronary arteries and coronary sinus) it is demonstrated that the presented algorithm outperforms periodic approaches and is able to handle realistic irregular heart motion.

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C-arm CT: Reconstruction of dynamic high contrast objects applied to the coronary sinus

Cited by 19 publications

References 15 publications

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

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

Residual motion compensation in ECG-gated interventional cardiac vasculature reconstruction

Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption

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