Literature DB >> 10100938

Segmentation techniques for analysis of bone by three-dimensional computed tomographic imaging.

T Dufresne1.   

Abstract

Improved methods for evaluation and quantification of the three-dimensional (3D) architecture of bone are needed in order to more fully understand the role of trabecular architecture in bone strength. Computed tomography (microCT) is capable of examining bone at resolutions below 30 microm (isotropic), with collection of a three-dimensional data set which can then be subjected to image analysis. In this paper, we discuss automated methods for important steps in this analysis, including methods for (1) segmenting the image into bone and background; (2) defining the volume of interest for determination of structural parameters; and (3) segmenting the bone into trabecular and cortical components. Evaluation of bone structure using these techniques provides new information about the 3D architecture of bone tissue, and may be useful for evaluation of structural changes in bone caused by aging, disease, or drug treatment.

Mesh:

Year:  1998        PMID: 10100938

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  9 in total

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2.  Interindividual and intraspecimen variability of 3-D bone microarchitectural parameters in iliac crest biopsies imaged by conventional micro-computed tomography.

Authors:  Christine Chappard; Arnaud Marchadier; Laurent Benhamou
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3.  Quantitative analysis of bone and soft tissue by micro-computed tomography: applications to ex vivo and in vivo studies.

Authors:  Graeme M Campbell; Antonia Sophocleous
Journal:  Bonekey Rep       Date:  2014-08-20

4.  Specimen size and porosity can introduce error into microCT-based tissue mineral density measurements.

Authors:  Roberto J Fajardo; Esther Cory; Nipun D Patel; Ara Nazarian; Andres Laib; Rajaram K Manoharan; James E Schmitz; Jeremy M DeSilva; Laura M MacLatchy; Brian D Snyder; Mary L Bouxsein
Journal:  Bone       Date:  2008-09-10       Impact factor: 4.398

5.  Semi-automated phalanx bone segmentation using the expectation maximization algorithm.

Authors:  Austin J Ramme; Nicole DeVries; Nicole A Kallemyn; Vincent A Magnotta; Nicole M Grosland
Journal:  J Digit Imaging       Date:  2008-09-03       Impact factor: 4.056

6.  Effects of diet-induced obesity and voluntary wheel running on the microstructure of the murine distal femur.

Authors:  Hongqiang Ma; Tuomas Turpeinen; Mika Silvennoinen; Sira Torvinen; Rita Rinnankoski-Tuikka; Heikki Kainulainen; Jussi Timonen; Urho M Kujala; Paavo Rahkila; Harri Suominen
Journal:  Nutr Metab (Lond)       Date:  2011-01-17       Impact factor: 4.169

7.  Effect of micro-computed tomography voxel size and segmentation method on trabecular bone microstructure measures in mice.

Authors:  Blaine A Christiansen
Journal:  Bone Rep       Date:  2016-05-27

Review 8.  Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation.

Authors:  Claudio Pizzolato; David G Lloyd; Rod S Barrett; Jill L Cook; Ming H Zheng; Thor F Besier; David J Saxby
Journal:  Front Comput Neurosci       Date:  2017-10-18       Impact factor: 2.380

9.  Bone microstructure and bone mineral density are not systemically different in Antarctic icefishes and related Antarctic notothenioids.

Authors:  Amir M Ashique; Oghenevwogaga J Atake; Katie Ovens; Ruiyi Guo; Isaac V Pratt; H William Detrich; David M L Cooper; Thomas Desvignes; John H Postlethwait; B Frank Eames
Journal:  J Anat       Date:  2021-08-22       Impact factor: 2.610

  9 in total

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