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A new straightforward method for semi-automated segmentation of trabecular bone from cortical bone in diverse and challenging morphologies.
Herbst, Eva C; Felder, Alessandro A; Evans, Lucinda A E; Ajami, Sara; Javaheri, Behzad; Pitsillides, Andrew A.
Afiliación
  • Herbst EC; Palaeontological Institute and Museum, University of Zurich, Zurich, Switzerland.
  • Felder AA; Research Software Development Group, Research IT Services, University College London, London, UK.
  • Evans LAE; Skeletal Biology Group, Comparative Biomedical Sciences, The Royal Veterinary College, London, UK.
  • Ajami S; Great Ormond Street Institute of Child Health, University College London, London, UK.
  • Javaheri B; School of Mathematics, Computer Science and Engineering, City University of London, London, UK.
  • Pitsillides AA; Skeletal Biology Group, Comparative Biomedical Sciences, The Royal Veterinary College, London, UK.
R Soc Open Sci ; 8(8): 210408, 2021 Aug.
Article en En | MEDLINE | ID: mdl-34386254
Many physiological, biomechanical, evolutionary and clinical studies that explore skeletal structure and function require successful separation of trabecular from cortical compartments of a bone that has been imaged by X-ray micro-computed tomography (micro-CT) prior to analysis. Separation often involves manual subdivision of these two similarly radio-opaque compartments, which can be time-consuming and subjective. We have developed an objective, semi-automated protocol which reduces user bias and enables straightforward, user-friendly segmentation of trabecular from the cortical bone without requiring sophisticated programming expertise. This method can conveniently be used as a 'recipe' in commercial programmes (Avizo herein) and applied to a variety of datasets. Here, we characterize and share this recipe, and demonstrate its application to a range of murine and human bone types, including normal and osteoarthritic specimens, and bones with distinct embryonic origins and spanning a range of ages. We validate the method by testing inter-user bias during the scan preparation steps and confirm utility in the architecturally challenging analysis of growing murine epiphyses. We also report details of the recipe, so that other groups can readily re-create a similar method in open access programmes. Our aim is that this method will be adopted widely to create a reproducible and time-efficient method of segmenting trabecular and cortical bone.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: R Soc Open Sci Año: 2021 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: R Soc Open Sci Año: 2021 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido