Methods for automated segmentation of trabecular bone structure

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The precise segmentation of bone regions is important in applications where measurements are taken from the extracted tissues. In high quality biomedical images, these extracted regions can be processed to study the underlying biology, like the relationship between bone structure and genetics. In studying the relationship between trabecular tissue growth patterns and the genes governing that particular development in mice limbs, it is important to ensure that segmentation is accurate. After obtaining the region of interest, image analysis techniques can be non-invasively applied to make any desired calculations. Fractal analysis has been used to measure structure related factors in trabecular bone. Since conventional methods could result in substantial loss of trabecular bone volume, methods for automated segmentation are compared. The first method performs automated segmentation using thresholding and morphological operators, while the second uses region growing. A comparison between two segmentation approaches is done. According to the fractal analysis, the first method outperforms the second in the segmentation precision.

Original languageEnglish
Title of host publication2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479964611
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014 - Paris, France
Duration: 14 Oct 201417 Oct 2014

Other

Other4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
CountryFrance
CityParis
Period14/10/1417/10/14

Fingerprint

Bone
Fractals
Tissue
Image analysis
Genes

Keywords

  • Region growing
  • Segmentation
  • Thresholding
  • Trabecular bone

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Zaghlool, S. (2015). Methods for automated segmentation of trabecular bone structure. In 2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014 [7001934] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPTA.2014.7001934

Methods for automated segmentation of trabecular bone structure. / Zaghlool, Shaza.

2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 7001934.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zaghlool, S 2015, Methods for automated segmentation of trabecular bone structure. in 2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014., 7001934, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014, Paris, France, 14/10/14. https://doi.org/10.1109/IPTA.2014.7001934
Zaghlool S. Methods for automated segmentation of trabecular bone structure. In 2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014. Institute of Electrical and Electronics Engineers Inc. 2015. 7001934 https://doi.org/10.1109/IPTA.2014.7001934
Zaghlool, Shaza. / Methods for automated segmentation of trabecular bone structure. 2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014. Institute of Electrical and Electronics Engineers Inc., 2015.
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