Nondestructive micro-computed tomography for biological imaging and quantification of scaffold-bone interaction in vivo

被引:167
作者
van Lenthe, G. Harry
Hagenmueller, Henri
Bohner, Marc
Hollister, Scott J.
Meinel, Lorenz
Mueller, Ralph
机构
[1] ETH, Inst Biomech, CH-8092 Zurich, Switzerland
[2] Catholic Univ Louvain, Div Biomech & Engn Design, B-3001 Louvain, Belgium
[3] ETH, Inst Pharmaceut Sci, CH-8093 Zurich, Switzerland
[4] Dr Robert Mathys Fdn, CH-2544 Bettlach, Switzerland
[5] Univ Michigan, Dept Biomed Engn, Ann Arbor, MI 48109 USA
[6] Tufts Univ, Dept Biomed Engn, Medford, MA 02115 USA
关键词
scaffold; micro-computed tomography; micro-structure; bone tissue engineering; bioreactor;
D O I
10.1016/j.biomaterials.2007.01.017
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Scaffolds, also called bioscaffolds, are needed in all tissue engineering applications as carriers for cells and biochemical factors, as constructs providing appropriate mechanical conditions, or as a combination of the two. The aim of this paper is to present recent developments in micro-computed tomography (mu CT) analyses of scaffolds. The focus will be on imaging and quantification aspects in bone research, and will deal with the assessment of scaffold architecture and how it interacts with bone tissue. We show that microarchitectural imaging is a nondestructive and noninvasive procedure that allows a precise three-dimensional (3D) measurement of scaffold architecture. Direct mu CT-based image analysis allows to accurately quantify scaffold porosity, surface area, and 3D measures such as pore size, pore distribution, and strut thickness; furthermore, it allows for a precise measurement of bone growth into the scaffold and onto its surface. This methodology is useful for quality control of scaffold fabrication processes, to assess scaffold degradation kinetics, and to assess bone tissue response. Even more so, in combination with bioreactors or in vivo animal models, mu CT allows to qualitatively and quantitatively assess the spatial and temporal mineralization of bone tissue formation in scaffolds; such longitudinal studies improve the assessment of bone response due to scaffold architecture. Computational models will be helpful in further analyses of these data in order to improve our understanding of mechanical and biochemical stimuli on bone formation, and are likely to provide valuable knowledge to optimize scaffold design. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2479 / 2490
页数:12
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