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Proceedings Paper

Stochastic modeling, virtual refinement, and deterministic fabrication of tissue engineering scaffolds
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Paper Abstract

Tissue engineering attempts to address the ever widening gap between the demand and supply of organ and tissue transplants using natural and biomimetic scaffolds. The current scaffold fabrication techniques can be broadly classified into (a) conventional, irreproducible, stochastic techniques producing biomorphic "secundam naturam" but sub optimal scaffold architecture and (b) rapidly emerging, repeatable, computer-controlled Solid Freeform Fabrication (SFF) producing, "contra naturam" scaffold architecture. This paper presents an image-based scaffold optimization strategy based on microCT images of the conventional scaffolds. This approach, attempted and perfected for the first time, synergistically exploits the orthogonal techniques to create repeatable, biomorphic scaffolds with optimal scaffold geometry. The ramifications of this image based computer assisted intervention to improve the status quo of scaffold fabrication might contribute to the previously elusive deployment of promising benchside tissue analogs to the clinical bedside.

Paper Details

Date Published: 10 March 2006
PDF: 11 pages
Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 61411M (10 March 2006); doi: 10.1117/12.653942
Show Author Affiliations
Srinivasan Rajagopalan, Mayo Clinic College of Medicine (United States)
Richard A. Robb, Mayo Clinic College of Medicine (United States)


Published in SPIE Proceedings Vol. 6141:
Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display
Kevin R. Cleary; Robert L. Galloway, Jr., Editor(s)

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