Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (12): 1705-1709.DOI: 10.12068/j.issn.1005-3026.2016.12.008

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Automatic Segmentation of Fiducial Marker Based on Sequence Characteristics

BAO Nan, CUI Zhi-ming, ZHUANG Jin-feng, KANG Yan   

  1. School of Sino-Dutch Biomedical & Information Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2015-07-16 Revised:2015-07-16 Online:2016-12-15 Published:2016-12-23
  • Contact: KANG Yan
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Abstract: The fiducial markers are widely used for point-pair registration in the image-guided surgery. When performing the registration, the centers of the fiducial markers will be picked. For localization of the fiducial markers, an automatic approach for the segmentation of markers was proposed based on the lung biopsy image-guided surgery system. Firstly, the candidate markers were coarsely segmented from the chest CT image. Then the real markers were detected and confirmed from the candidate markers according to the sequence characteristics approach. Experiments showed that, comparing with the results of manual segmentation, the method can segment the markers with 95% pixel overlap rate and the center localization error is less than 0.22mm.

Key words: image-guided surgery, marker segmentation, sequence characteristics, point-pair registration, chest CT image

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