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Published in: The International Journal of Cardiovascular Imaging 10/2023

Open Access 15-07-2023 | Angiography | Original Paper

Improved stereo perception in coronary angiography using the X-ray tube as the viewpoint and validation with 3D printed models

Authors: Miao Chen, Tianpeng Zhang

Published in: The International Journal of Cardiovascular Imaging | Issue 10/2023

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Abstract

Coronary angiography (CAG) provides two-dimensional images, but a clinician who is experienced in percutaneous coronary interventions can use information from these images to interpret spatial depth and infer the three-dimensional (3D) locations of vessels. We hypothesized that CAG results were equivalent to the mirror image of a coronary artery perspective projection, and a stereo perception could be easily established when the viewpoint of the angiogram was the X-ray tube instead of the detector. To eliminate the influence of heartbeat and respiration, a 3D-printed a coronary artery model was constructed for analysis. The effects of gantry movements during digital subtraction angiography (DSA) on the image were used to identify factors that affected DSA image transformation. Then, based on these factors, DSA imaging was simulated using UG NX software with three methods: (i) a perspective projection with the detector as the viewpoint; (ii) a parallel projection; and (iii) a mirror image of the perspective projection with the X-ray tube as the viewpoint. Finally, the resulting 3D images were compared with the DSA image. Our mirror image of the coronary artery perspective projection that used the X-ray tube as the viewpoint fused precisely with the CAG results and provided exact simulations of all the effects of DSA gantry movements on the DSA image. CAG results were equivalent to the mirror image of coronary artery perspective projection, and the stereo perception was easily established using the X-ray tube as the viewpoint.
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Metadata
Title
Improved stereo perception in coronary angiography using the X-ray tube as the viewpoint and validation with 3D printed models
Authors
Miao Chen
Tianpeng Zhang
Publication date
15-07-2023
Publisher
Springer Netherlands
Published in
The International Journal of Cardiovascular Imaging / Issue 10/2023
Print ISSN: 1569-5794
Electronic ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-023-02906-x

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