Current efforts in tissue engineering center on designing viable replacements to resolve limitations that arise in existing medical technologies such as mechanical and biological valvular prosthetic devices. The realization of such tasks is complicated by the intricate, regionally variant structural and mechanical properties observed in the native aortic valve leaflet (AVL) [1–2, 4]. To design and construct such a valve, a detailed understanding of native leaflet microstructure and function is required. As such, creating a computational framework incorporating structural and functional characteristics spanning from the cell to organ level would be highly valued [3, 6]. The current study utilizes histological sectioning techniques to evaluate and reconstruct the 3D microstructure of the complete AVL. In addition to gaining further insight into leaflet structure function relationships, the current study will lay the basis for the development of analytical tools involving physiologically accurate 3D finite element representations.
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ASME 2007 Summer Bioengineering Conference
June 20–24, 2007
Keystone, Colorado, USA
Conference Sponsors:
- Bioengineering Division
ISBN:
0-7918-4798-5
PROCEEDINGS PAPER
The Digital Leaflet: Quantitative Image Analysis and 3-D Digital Reconstruction of the Aortic Valve Leaflet
John A. Stella,
John A. Stella
University of Pittsburgh, Pittsburgh, PA
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Michael S. Sacks
Michael S. Sacks
University of Pittsburgh, Pittsburgh, PA
Search for other works by this author on:
John A. Stella
University of Pittsburgh, Pittsburgh, PA
Michael S. Sacks
University of Pittsburgh, Pittsburgh, PA
Paper No:
SBC2007-176672, pp. 233-234; 2 pages
Published Online:
March 12, 2014
Citation
Stella, JA, & Sacks, MS. "The Digital Leaflet: Quantitative Image Analysis and 3-D Digital Reconstruction of the Aortic Valve Leaflet." Proceedings of the ASME 2007 Summer Bioengineering Conference. ASME 2007 Summer Bioengineering Conference. Keystone, Colorado, USA. June 20–24, 2007. pp. 233-234. ASME. https://doi.org/10.1115/SBC2007-176672
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