Four-dimensional cardiac reconstruction from rotational x-ray sequences: first results for 4D coronary angiography

Hansis, Eberhard; Schomberg, H.; Erhard, Klaus; Dössel, Olaf; Graß, Michael

doi:10.1117/12.811104

Cited by 15 publications

(20 citation statements)

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“…Two-dimensional rigid (Movassaghi et al, 2003) and 2D elastic (Hansis et al, 2008d) transformation are employed. Other studies use either 3D (Rohkohl et al, 2008a;Bousse Ast et al, 2009) or 4D (Blondel et al, 2006;Hansis et al, 2009;Rohkohl et al, 2009bRohkohl et al, ,a, 2010b) B-spline transformation. B-spline transformations offer spatial (and temporal if 4D) smoothness and achieve better results at the extent of an increase in the number of parameters to be estimated.…”

Section: Motion Compensated Tomographic Reconstructionmentioning

confidence: 99%

“…These reconstructions are used to define an intensity based registration to estimate the parameters (Rohkohl et al, 2008a). Other possibility is to estimate the motion parameters jointly with the reconstruction (Figure 11b) (Hansis et al, 2009;Rohkohl et al, 2009bRohkohl et al, ,a, 2010b. To achieve this goal, the parameters of the transformation are directly embedded into the analytical (Rohkohl et al, 2009b,a, 2010b) or iterative (Hansis et al, 2009) reconstruction formulations.…”

Section: Motion Compensated Tomographic Reconstructionmentioning

confidence: 99%

“…In general, the motion field is parameterised by a motion vector field or a geometric transformation. The temporal component of the motion field is commonly parameterised by cardiac phase assuming a periodic motion (Movassaghi et al, 2003;Blondel et al, 2006;Rohkohl et al, 2008a;Hansis et al, 2008dHansis et al, , 2009Bousse Ast et al, 2009). However, the periodicity assumption is problematic for the cases where residual motion is strong or for the cases with arrhythmic heart motion (Rohkohl et al, 2009b).…”

Section: Motion Compensated Tomographic Reconstructionmentioning

confidence: 99%

“…The image model mainly deals with the representation of the volume to be reconstructed. The continuous volume is approximated by a linear combination of basis functions at discrete regular rectangular grid locations (Hansis et al, 2009). Among alternatives, voxel (Blondel et al, 2004), Gaussian (Hansis et al, 2008c,a), and blob-like (KaiserBessel) (Zhou et al, 2008;Hu et al, 2010Hu et al, , 2012 basis functions are utilized 3 .…”

Section: Preliminariesmentioning

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: Motion Compensated Tomographic Reconstructionmentioning

confidence: 99%

Section: Motion Compensated Tomographic Reconstructionmentioning

confidence: 99%

Section: Motion Compensated Tomographic Reconstructionmentioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

See 2 more Smart Citations

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

Çimen

Gooya

Graß

et al. 2016

Medical Image Analysis

Self Cite

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show abstract

“…On the other hand, a full 3-D estimation is a strongly ill-posed problem with high computational demands. Motion periodicity assumptions and/or regularisation are therefore often used (Zeng et al 2005, Hansis et al 2009). However, the object of interest here, i.e.…”

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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