| Automated segmentation of micro-CT images of bone formation in calcium phosphate scaffolds. | |
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MedLine Citation:
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PMID: 21868194 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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In this work, we develop and validate an automated micro-computed tomography (micro-CT) image segmentation algorithm that accurately and efficiently segments bone, calcium phosphate (CaP)-based bone scaffold, and soft tissue. The algorithm enables quantitative evaluation of bone growth in CaP scaffolds in our study that includes many samples (100+) and large data sets (900 images per sample). The use of micro-CT for such applications is otherwise limited because the similarity in X-ray attenuation for the two materials makes them indistinguishable. Destructive characterization using histological techniques and scanning electron microscopy (SEM) has been the standard for CaP scaffolds, but these methods are cumbersome, inaccurate, and yield only 2D information. The proposed algorithm exploits scaffold periodicity and combines signal analysis, edge detection, and knowledge of three-dimensional spatial relationships between bone, CaP scaffold, and soft tissue to achieve fast and accurate segmentation. Application of this algorithm can lead to a new understanding of the role of CaP and scaffold internal structure on patterns and rates of bone growth. |
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Authors:
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Samantha J Polak; Salvatore Candido; Sheeny K Lan Levengood; Amy J Wagoner Johnson |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-8-23 |
Journal Detail:
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Title: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Volume: - ISSN: 1879-0771 ISO Abbreviation: - Publication Date: 2011 Aug |
Date Detail:
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Created Date: 2011-8-26 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8806104 Medline TA: Comput Med Imaging Graph Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Bioengineering, University of Illinois at Urbana-Champaign, 3120 Digital Computer Laboratory, 1304 West Springfield Avenue, Urbana, IL 61801, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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