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Publication Detail
Multi-atlas based pathological stratification of D-TGA congenital heart disease
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Zuluaga MA, Mendelson A, Cardoso MJ, Taylor AM, Ourselin S
  • Publication date:
  • Pagination:
    109, 112
  • Journal:
    2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
  • Status:
© 2014 IEEE. One of the main sources of error in multi-atlas segmentation propagation approaches comes from the use of atlas databases that are morphologically dissimilar to the target image. In this work, we exploit the segmentation errors associated with poor atlas selection to build a computer-aided diagnosis (CAD) system for pathological classification in post-operative dextro-transposition of the great arteries (d-TGA). The proposed approach extracts a set of features, which describe the quality of a segmentation, and introduces them into a logical decision tree that provides the final diagnosis. We have validated our method on a set of 60 whole heart MR images containing healthy cases and two different forms of post-operative d-TGA. The reported overall CAD system accuracy was of 93.33%.
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Dept of Med Phys & Biomedical Eng
Children's Cardiovascular Disease
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