Corrigendum to “Trabecular microfractures in the femoral head with osteoporosis: Analysis of microcallus formations by synchrotron radiation micro CT” [Bone, volume 64 (2014) 82–87]

Okazaki, Narihiro; Chiba, Ko; Taguchi, Koichi; Nango, Nobuhito; Kubota, Shogo; Ito, Masako; Osaki, Makoto

doi:10.1016/j.bone.2016.03.009

Cited by 1 publication

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“…Through the binary image of the trabecular bone, we can calculate the following three geometric shape factors [9][10]: mean trabecular plate thickness (MTPT), trabecular bone volume (TBV), and trabecular bone number (N). This description can be used for quantitative analysis of bone shape measurement.…”

Section: Analysis Of Geometric Characteristics Of Mice Trabecular Bonementioning

confidence: 99%

Extraction and Feature Analysis of Mouse Trabecular with Active Contour Model Based on Micro-CT Images

Chen¹,

Li²,

Chu³

2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

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Abstract. To solve the non-uniformity of micro-CT image with CV(Chan-Vese) model and the influence of location of initial contour curves on segmentation speed in the LGIF(Local and Global Intensity Fitting) model, K-LGIF(K-means-Local and Global Intensity Fitting) model was proposed through adding K-means clustering information into energy function of LGIF active contour model. The K-LGIF model extracts outline of the image as the initial contour to reduce the number of iterations and shorten time consuming. Comparing measured geometry parameters by simulating symptoms of osteoporosis and normal mouse femur of trabecular bone and using gray level co-occurrence matrix, we measured the parameters of texture distribution of trabecular bone. The experimental results show that the K-LGIF model can effectively improve segmentation of non-uniform gray image and increase speed of segmentation. This method may provide an approach for the quantitative analysis of osteoporosis.

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Section: Analysis Of Geometric Characteristics Of Mice Trabecular Bonementioning

confidence: 99%

Extraction and Feature Analysis of Mouse Trabecular with Active Contour Model Based on Micro-CT Images

Chen¹,

Li²,

Chu³

2017

Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

View full text Add to dashboard Cite

show abstract

Corrigendum to “Trabecular microfractures in the femoral head with osteoporosis: Analysis of microcallus formations by synchrotron radiation micro CT” [Bone, volume 64 (2014) 82–87]

Cited by 1 publication

References 0 publications

Extraction and Feature Analysis of Mouse Trabecular with Active Contour Model Based on Micro-CT Images

Extraction and Feature Analysis of Mouse Trabecular with Active Contour Model Based on Micro-CT Images

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