Automatic Ribs Segmentation and Counting From Mouse X-ray Images

نویسندگان

  • Omar Al Okashi
  • Hongbo Du
  • Joanne L. Selway
  • Chris Lelliott
  • Simon Maguire
  • Dave Melvin
  • Kenneth Langlands
  • Hisham Al-Assam
چکیده

The automatic detection and quantification of skeletal structures has a variety of applications for biological research. This paper proposes an automatic solution for rib segmentation and counting based on structural properties of ribs in mouse X-ray images. The solution consists of five stages, including alignment, cropping the region of interest, image enhancement, rib segmentation, filtering of non-rib objects and rib counting. Experimental results on a set of 100 X-ray images showed consistent good performance of the algorithm compared with a manual annotation by domain experts, with an overall accuracy of about 88%.

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تاریخ انتشار 2014