• DocumentCode
    1771767
  • Title

    Cartilage estimation in noncontrast thoracic CT

  • Author

    Qian Zhao ; Safdar, Nabile ; Yu, Glenna ; Myers, Emmarie ; Koroulakis, Antony ; Duan, Chunzhe ; Sandler, Anthony ; Linguraru, Marius George

  • Author_Institution
    Children´s Nat. Med. Center, Sheikh Zayed Inst. for Pediatric Surg. Innovation, Washington, DC, USA
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    409
  • Lastpage
    412
  • Abstract
    Pectus excavatum (PE) is the most common major congenital deformity that involves the lower sternum and cartilages. Noncontrast CT is useful to assess the deformity of the bones and guide minimally invasive surgery. However, it has very poor visibility of cartilages even for the experienced clinicians who need to assess the 3D geometry of cartilages. In this study, we propose a novel method to estimate cartilages in noncontrast CT scans. The ribs and sternum are first segmented using region growing. The skeleton of the ribs is extracted and modeled by cosine series expansion. Then a statistical shape model is built with the cosine coefficients to estimate the cartilages as curves that connect the ribs and sternum. The results are refined by the cartilage surface that is approximated by contracting the skin surface to the bones. Leave-one-out validation was performed on 12 CT scans from healthy and PE subjects. The average distance between the estimated cartilages and ground truth is 1.53 mm. The promising results indicate that our method could estimate the costal cartilages in noncontrast CT effectively and assist to develop an image-based surgical planning system for PE correction.
  • Keywords
    biomechanics; bone; computerised tomography; deformation; feature extraction; image segmentation; medical image processing; physiological models; skin; statistical analysis; 3D cartilage geometry assessment; bone deformity assessment; congenital deformity; cosine series expansion; image-based surgical planning system; minimally invasive surgery; noncontrast thoracic CT; pectus excavatum; region growing; rib skeleton extraction; skin surface; statistical shape model; sternum segmentation; Computed tomography; Ribs; Shape; Skin; Sternum; Three-dimensional displays; Pectus excavatum; cartilage estimation; cosine series representation; statistical shape model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867895
  • Filename
    6867895