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Abstract

In computed tomographic colonography, colonic/haustral folds often serve as important anatomic landmarks for various tasks, such as virtual endoscopic navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation can be achieved by taking the negative ridge lines as fold boundaries. Preliminary results on patient data are very promising.

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhu, H., Li, L., Fan, Y., Liang, Z. (2011). Haustral Fold Segmentation of CT Colonography Using Ridge Line Detection. In: Yoshida, H., Cai, W. (eds) Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities. ABD-MICCAI 2010. Lecture Notes in Computer Science, vol 6668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25719-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-25719-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25718-6

  • Online ISBN: 978-3-642-25719-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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