Stents are most commonly used in the relief of coronary artery stenosis, but in the last decade have found increasing applications in the treatment of other cardiovascular disease and in particular in heart valve replacement [1]. In transcatheter valve implantation, acquisition of high temporal and spatial resolution images during stenting procedure and patients’ follow-up is required to help the correct positioning of the device and to assess the mechanical performance over time. The imaging techniques routinely used for this purpose are 2D X-ray fluoroscopy and 3D computed tomography (CT), and recent studies have demonstrated their value as diagnostic tools [1–3]. However, these image modalities carry errors and the resulting information might not be accurate enough to be employed in engineering analyses of stent deformations, mechanics, dynamics and fracture. In this study, we aim to evaluate the errors of conventionally used clinical images (fluoroscopy and CT) and post-processing by comparison with ultra-high resolution micro-CT (μCT) as gold standard. Additionally, an optical image acquisition method and a high-radiation CT scan were evaluated as potential techniques to acquire geometrical data that could be used for computational and in-vitro engineering experiments.
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ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation
September 11–13, 2013
Washington, DC, USA
Conference Sponsors:
- Bioengineering Division
ISBN:
978-0-7918-5600-0
PROCEEDINGS PAPER
Stent Geometry Reconstruction Using Imaging Techniques
Daria Cosentino,
Daria Cosentino
University College London, London, UK
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Iwona Zwierzak,
Iwona Zwierzak
University of Sheffield, Sheffield, UK
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Vanessa Diaz-Zuccarini,
Vanessa Diaz-Zuccarini
University College London, London, UK
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John W. Fenner,
John W. Fenner
University of Sheffield, Sheffield, UK
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Silvia Schievano,
Silvia Schievano
University College London, London, UK
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Andrew J. Narracott
Andrew J. Narracott
University of Sheffield, Sheffield, UK
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Daria Cosentino
University College London, London, UK
Iwona Zwierzak
University of Sheffield, Sheffield, UK
Vanessa Diaz-Zuccarini
University College London, London, UK
John W. Fenner
University of Sheffield, Sheffield, UK
Silvia Schievano
University College London, London, UK
Andrew J. Narracott
University of Sheffield, Sheffield, UK
Paper No:
FMD2013-16152, V001T05A005; 2 pages
Published Online:
February 19, 2014
Citation
Cosentino, D, Zwierzak, I, Diaz-Zuccarini, V, Fenner, JW, Schievano, S, & Narracott, AJ. "Stent Geometry Reconstruction Using Imaging Techniques." Proceedings of the ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. Washington, DC, USA. September 11–13, 2013. V001T05A005. ASME. https://doi.org/10.1115/FMD2013-16152
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