BoneJ: free and extensible bone image analysis in ImageJ
By M. Doube, M. Kłosowski, Ignacio Arganda-Carreras, Fabrice Cordelières, R. Dougherty, Jonathan S. Jackson, Benjamin Schmid, John R. Hutchinson, S. Shefelbine. Bone, 2010
2,050 citations recorded by the source corpus.
Bone geometry is commonly measured on computed tomographic (CT) and X-ray microtomographic (μCT) images. We obtained hundreds of CT, μCT and synchrotron μCT images of bones from diverse species that needed to be analysed remote from scanning hardware, but found that available software solutions were expensive, inflexible or methodologically opaque. We implemented standard bone measurements in a novel ImageJ plugin, BoneJ, with which we analysed trabecular bone, whole bones and osteocyte lacunae. BoneJ is open source and free for anyone to download, use, modify and distribute.
Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/be3a0eba2bfdbd7b89e7be35de99b66882d95430
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Maiasaura, a model organism for extinct vertebrate population biology: a large sample statistical assessment of growth dynamics and survivorship (2015, methodology): “Periosteal and LAG circumferences, as well as the total area of the transverse section enclosed by the circumferences (here termed cortical area), were quantified using NIH ImageJ (Rasband 1997–2014) and the BoneJ plugin (Doube et al. 2010) (Supplementary Table 1; Supplementary Table 2).”
- Linking air and water transport in intact soils to macropore characteristics inferred from X-ray computed tomography (2015, methodology): “The skeletons were then analyzed using the Analyze Skeleton plugin (Doube et al., 2010).”
- Additively manufactured metallic porous biomaterials based on minimal surfaces: A unique combination of topological, mechanical, and mass transport properties. (2017, methodology): “0 [25] was then used to three-dimensionally compute the morphological properties of the porous biomaterials.”