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Vessel centerline reconstruction from non-isocentric and non-orthogonal paired monoplane angiographic images

Overview of attention for article published in The International Journal of Cardiovascular Imaging, November 2017
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Title
Vessel centerline reconstruction from non-isocentric and non-orthogonal paired monoplane angiographic images
Published in
The International Journal of Cardiovascular Imaging, November 2017
DOI 10.1007/s10554-017-1275-z
Pubmed ID
Authors

Mie Kunio, Caroline C. O’Brien, Augusto C. Lopes, Lynn Bailey, Pedro A. Lemos, Guillermo J. Tearney, Elazer R. Edelman

Abstract

Three-dimensional reconstruction of a vessel centerline from paired planar coronary angiographic images is critical to reconstruct the complex three-dimensional structure of the coronary artery lumen and the relative positioning of implanted devices. In this study, a new vessel centerline reconstruction method that can utilize non-isocentric and non-orthogonal pairs of angiographic images was developed and tested. Our new method was developed in in vitro phantom models of bifurcated coronary artery with and without stent, and then tested in in vivo swine models (twelve coronary arteries). This method was also validated using data from six patients. Our new method demonstrated high accuracy (root mean square error = 0.27 mm or 0.76 pixel), and high reproducibility across a broad imaging angle (20°-130°) and between different cardiac cycles in vitro and in vivo. Use of this method demonstrated that the vessel centerline in the stented segment did not deform significantly over a cardiac cycle in vivo. In addition, the total movement of the isocenter in each image could be accurately estimated in vitro and in vivo. The performance of this new method for patient data was similar to that for in vitro phantom models and in vivo animal models. We developed a vessel centerline reconstruction method for non-isocentric and non-orthogonal angiographic images. It demonstrated high accuracy and good reproducibility in vitro, in vivo, and in clinical setting, suggesting that our new method is clinically applicable despite the small sample size of clinical data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Postgraduate 2 18%
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Materials Science 2 18%
Engineering 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,292
of 2,012 outputs
Outputs of similar age
#260,639
of 336,130 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#24
of 43 outputs
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