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Reseach Article

Tibia Bone Segmentation in X-ray Images - A Comparative Analysis

by Nathanael E. Jacob, M. V. Wyawahare
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 9
Year of Publication: 2013
Authors: Nathanael E. Jacob, M. V. Wyawahare
10.5120/13277-0873

Nathanael E. Jacob, M. V. Wyawahare . Tibia Bone Segmentation in X-ray Images - A Comparative Analysis. International Journal of Computer Applications. 76, 9 ( August 2013), 34-41. DOI=10.5120/13277-0873

@article{ 10.5120/13277-0873,
author = { Nathanael E. Jacob, M. V. Wyawahare },
title = { Tibia Bone Segmentation in X-ray Images - A Comparative Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 9 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number9/13277-0873/ },
doi = { 10.5120/13277-0873 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:28.962049+05:30
%A Nathanael E. Jacob
%A M. V. Wyawahare
%T Tibia Bone Segmentation in X-ray Images - A Comparative Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 9
%P 34-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Segmentation techniques in the medical field are used to segment anatomical structures or other region of interest from medical images obtained from different modalities. This paper deals with segmentation techniques like manual thresholding, Otsu thresholding, watershed, traditional active contours and growcut in X-ray modality, for segmenting the tibia bone. This paper analyzes the performance of these algorithms on a database of 48 clinical X-ray images. The images have been obtained from different X-ray machines and vary in their resolution and dimensions. The performance of the algorithms have been measured and validated empirically.

References
  1. Chipchase, L. S. , K. McCaul, and T. C. Hearn. "Hip fracture rates in South Australia: Into the next century. " Australian and New Zealand Journal of Surgery 70. 2 (2000): 117-119.
  2. Berbaum, Kevin S. , and Edmund A. Franken. "Satisfaction of Search in Radiographic Modalities. " Radiology 261. 3 (2011): 1000-1001.
  3. Giger, Maryellen L. "Computer-aided diagnosis in medical imaging-a new era in image interpretation. " Medical Imaging Ultrasound (2000): 75-79.
  4. Umadevi, N. , and S. N. Geethalakshmi. "Enhanced Segmentation Method for bone structure and diaphysis extraction from x-ray images. " International Journal of Computer Applications 37. 3 (2012): 30-36.
  5. Nathanael E Jacob and M V Wyawahare. "Survey of Bone Fracture Detection Techniques. " International Journal of Computer Applications 71. 17(2013):31-34.
  6. Ding, Feng, Wee Kheng Leow, and Tet Sen Howe. "Automatic segmentation of femur bones in anterior-posterior pelvis x-ray images. " Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2007.
  7. Manos, G. K. , et al. "Segmenting radiographs of the hand and wrist. " Computer Methods and Programs in Biomedicine 43. 3 (1994): 227-237.
  8. El-Feghi, I. , et al. "X-ray image segmentation using auto adaptive fuzzy index measure. " Circuits and Systems, 2004. MWSCAS'04. The 2004 47th Midwest Symposium on. Vol. 3. IEEE, 2004.
  9. Vinhais, Carlos, and Aurélio Campilho. "Genetic model-based segmentation of chest x-ray images using free form deformations. " Image Analysis and Recognition. Springer Berlin Heidelberg, 2005. 958-965.
  10. Yue, Zhanjun, Ardeshir Goshtasby, and Laurens V. Ackerman. "Automatic detection of rib borders in chest radiographs. " Medical Imaging, IEEE Transactions on 14. 3 (1995): 525-536.
  11. Jiang, Yuchong, and Paul Babyn. "X-ray bone fracture segmentation by incorporating global shape model priors into geodesic active contours. "International Congress Series. Vol. 1268. Elsevier, 2004.
  12. Chen, Ying, et al. "Automatic extraction of femur contours from hip x-ray images. " Computer Vision for Biomedical Image Applications. Springer Berlin Heidelberg, 2005. 200-209.
  13. Behiels, Gert, et al. "Active shape model-based segmentation of digital X-ray images. " Medical Image Computing and Computer-Assisted Intervention–MICCAI'99. Springer Berlin Heidelberg, 1999.
  14. Otsu, Nobuyuki. "A threshold selection method from gray-level histograms. "Automatica 11. 285-296 (1975): 23-27.
  15. Meyer, Fernand. "Topographic distance and watershed lines. " Signal processing 38. 1 (1994): 113-125.
  16. Kass, Michael, Andrew Witkin, and Demetri Terzopoulos. "Snakes: Active contour models. " International journal of computer vision 1. 4 (1988): 321-331.
  17. Vezhnevets, Vladimir, and Vadim Konouchine. "GrowCut: Interactive multi-label ND image segmentation by cellular automata. " proc. of Graphicon. 2005.
  18. http://www. shawnlankton. com/?s=growcut.
  19. Torsney-Weir, Thomas, et al. "Tuner: Principled parameter finding for image segmentation algorithms using visual response surface exploration. "Visualization and Computer Graphics, IEEE Transactions on 17. 12 (2011): 1892-1901.
  20. Zhang, Yu Jin. "A survey on evaluation methods for image segmentation. "Pattern recognition 29. 8 (1996): 1335-1346.
  21. 52. Shattuck, David W. , et al. "Online resource for validation of brain segmentation methods. " NeuroImage 45. 2 (2009): 431-439.
  22. Tahmasebi, Amir M. , et al. "A validation framework for probabilistic maps using Heschl's gyrus as a model. " Neuroimage 50. 2 (2010): 532-544.
  23. Manning, Christopher D. , and Hinrich Schütze. Foundations of statistical natural language processing. Vol. 999. Cambridge: MIT press, 1999.
  24. Pham, Dzung L. , Chenyang Xu, and Jerry L. Prince. "Current methods in medical image segmentation 1. " Annual review of biomedical engineering 2. 1 (2000): 315-337.
  25. Doi, Kunio. "Computer-aided diagnosis in medical imaging: historical review, current status and future potential. " Computerized medical imaging and graphics: the official journal of the Computerized Medical Imaging Society 31. 4-5 (2007): 198.
Index Terms

Computer Science
Information Sciences

Keywords

X-ray tibia bone segmentation growcut validation.