Determination of optimal angiographic viewing angles for QCA

Christiaens, Joeri; Walle, Rik Van de; Gheeraert, Peter; Taeymans, Yvo; Lemahieu, Ignace

doi:10.1016/s0531-5131(01)00154-6

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Besides, the choice of a specific region for calculating the foreshortening and overlap is also subjective. Christiaens et al [ 19 ] followed the method of determining optimal viewing angle for a straight vessel by Dumay et al [ 20 ] and defined the optimal bifurcation viewing angle as the angle perpendicular to the main direction of the bifurcation branches. Again, in a heavily curved main branch, the optimal viewing angle calculated by this approach might not work for best visualizing the ostium of the side branch in the bifurcation, where the majority of restenosis occurred following T-stenting.…”

Section: Applicationsmentioning

confidence: 99%

Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms

Koning

Jukema

et al. 2009

Int J Cardiovasc Imaging

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Three-dimensional quantitative coronary angiography (3D QCA) has been encouraged by the increasing need to better assess vessel dimensions and geometry for interventional purposes. A novel 3D QCA system based on biplane X-ray angiograms is presented in this paper. By correcting for the isocenter offset and by improving the epipolar constraint for corresponding two angiographic projections, accurate and robust reconstruction of the vessel centerline is achieved and the reproducibility of its applications, e.g., the assessments of obstruction length and optimal viewing angle, is guaranteed. The accuracy and variability in assessing the obstruction length and optimal bifurcation viewing angle were investigated by using phantom experiments. The segment length assessed by 3D QCA correlated well with the true wire segment length (r 2 = 0.999) and the accuracy and precision were 0.04 ± 0.25 mm (P \ 0.01). 3D QCA slightly underestimated the rotation angle (difference: -1.5°± 3.6°, P \ 0.01), while no significant difference was observed for the angulation angle (difference: -0.2°± 2.4°, P = 0.54). In conclusion, the new 3D QCA approach allows highly accurate and precise assessments of obstruction length and optimal viewing angle from Xray angiography.

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Section: Applicationsmentioning

confidence: 99%

Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms

Koning

Jukema

et al. 2009

Int J Cardiovasc Imaging

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“…The contents of the stencil buffer can be read out and used to calculate the percentage of overlap, P overlap . % 100 2 1 2 × + = n n n P overlap (2) Where n i is the number of pixels with value i in the stencil buffer.…”

Section: Overlap Calculationmentioning

confidence: 99%

“…A number of studies have been published on the reconstruction of the 3D coronary artery tree topology from multiple (2D) angiographic images to determine optimal viewing angles [1][2][3][4]. CTA data by definition contains this topological information obtained in a non-invasive way.…”

Section: Introductionmentioning

confidence: 99%

Automated determination of optimal angiographic viewing angles for coronary artery bifurcations from CTA data

Kitslaar

Marquering

Jukema

et al. 2008

Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling

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For optimal diagnosis and treatment of lesions at coronary artery bifurcations using x-ray angiography, it is of utmost importance to determine proper angiographic viewing angles. Due to the increasing use of CTA as a first line diagnostic tool, 3D CTA data is more frequently available before x-ray angiographic procedures take place. Motivated by this, we propose to use available CTA data for the determination of patient specific optimal x-ray viewing angles. A semi-automatic iterative region growing scheme is developed for the segmentation of the coronary arterial tree. From the segmented arterial tree, a complete hierarchical surface and centerline representation, including bifurcation points, is automatically obtained. The optimal viewing angle for a selected bifurcation is determined as the view rendering the least amount of foreshortening and vessel overlap. For 83 bifurcation areas, viewing angles were automatically determined. The sensitivity of the method to patient positioning in the x-ray system was also studied. Next, the automatically determined angels were both quantitatively and qualitatively compared with angles determined by two experts. The method was found not to be sensitive to the positioning of the patient in the angiographic x-ray system. In 95% of the cases our method produced a clinically usable view (mean score of 8.4 out of 10) as compared to 98% for the experts (mean score of 8.7). Our method produced angiographic views with significantly less foreshortening (mean difference of 10 percentage points) than the angiographic views set by the experts.

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Sequential reconstruction of vessel skeletons from X-ray coronary angiographic sequences

Sun

Tian

Sun

2010

Computerized Medical Imaging and Graphics

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Determination of optimal angiographic viewing angles for QCA

Cited by 5 publications

References 3 publications

Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms

Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms

Automated determination of optimal angiographic viewing angles for coronary artery bifurcations from CTA data

Sequential reconstruction of vessel skeletons from X-ray coronary angiographic sequences

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