DocumentCode :
899943
Title :
Motion Correction for Coronary Stent Reconstruction From Rotational X-ray Projection Sequences
Author :
Perrenot, Béatrice ; Vaillant, Régis ; Prost, Rémy ; Finet, Gérard ; Douek, Philippe ; Peyrin, Françoise
Author_Institution :
CNRS UMR 5220;, Univ. Lyon I, Bron, France
Volume :
26
Issue :
10
fYear :
2007
Firstpage :
1412
Lastpage :
1423
Abstract :
This paper presents a new method for 3-D tomographic reconstruction of stent in X-ray cardiac rotational angiography. The method relies on 2-D motion correction from two radiopaque markerballs located on each side of the stent. The two markerballs are on a guidewire and linked to the balloon, which is introduced into the artery. Once the balloon has been inflated, deflated, and the stent deployed, a rotational sequence around the patient is acquired. Under the assumption that the guidewire and the stent have the same 3-D motion during rotational acquisition, we developed an algorithm to correct cardiac stent motion on the 2-D X-ray projection images. The 3-D image of the deployed stent is then reconstructed with the Feldkamp algorithm using all the available projections. Although the correction is an approximation, we show that the intrinsic geometrical error of our method has no visual impact on the reconstruction when the 2-D markerball centers are exactly detected and the markerballs have the same 3-D motion as the stent. Qualitative and quantitative results on simulated sequences under different realistic conditions demonstrate the robustness of the method. Finally, results from animal data acquired on a rotational angiography device are presented.
Keywords :
X-ray imaging; angiocardiography; computerised tomography; image motion analysis; image reconstruction; medical image processing; 2-D motion correction; 3-D tomographic reconstruction; Feldkamp algorithm; X-ray cardiac rotational angiography; cardiac imaging; coronary stent reconstruction; intrinsic geometrical error; rotational X-ray projection sequences; Angiography; Arteries; Error correction; Image reconstruction; Lesions; Medical services; Motion detection; Robustness; Tomography; X-ray imaging; Cardiac imaging; X-ray rotational angiography; motion correction; three-dimensional (3-D) tomographic reconstruction; Algorithms; Artifacts; Artificial Intelligence; Coronary Angiography; Coronary Vessels; Humans; Imaging, Three-Dimensional; Motion; Pattern Recognition, Automated; Prosthesis Implantation; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Radiography, Interventional; Reproducibility of Results; Rotation; Sensitivity and Specificity; Stents;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2007.901005
Filename :
4336178
Link To Document :
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