Echocardiographic Contour Extraction with Local and Global Priors through Boosting and Level Sets

Oktay A. B., Akgul Y. S.

IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops, Florida, Amerika Birleşik Devletleri, 20 - 25 Haziran 2009, ss.109-114 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Florida
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.109-114
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

Extracting endocardium and epicardium from echocardiographic images is a challenging task because of large amounts of noise, signal drop-out, unrelated structures, and unseen wall parts. This paper introduces a new technique that automatically extracts cardiac borders by incorporating local and global priors through boosting and level set methods. The shape-based global prior is incorporated into the system by regularly re-initializing the level set surface under the influence of the expert detected contours. The local priors with image and temporal information are learned through boosting.