• DocumentCode
    1275540
  • Title

    Spiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization

  • Author

    Sorantin, Erich ; Halmai, Csongor ; Erdöhelyi, Balázs ; Palágyi, Kálmán ; Nyúl, László G. ; Ollè, Krisztián ; Geiger, Bernhard ; Lindbichler, Franz ; Friedrich, Gerhard ; Kiesler, Karl

  • Author_Institution
    Dept. of Radiol., Univ. Hosp. Graz, Austria
  • Volume
    21
  • Issue
    3
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    263
  • Lastpage
    273
  • Abstract
    Demonstration of a technique for three-dimensional (3-D) assessment of tracheal-stenoses, regarding site, length and degree, based on spiral computed tomography (S-CT). S-CT scanning and automated segmentation of the laryngo-tracheal tract (LTT) was followed by the extraction of the LTT medial axis using a skeletonization algorithm. Orthogonal to the medial axis the LTT 3-D cross-sectional profile was computed and presented as line charts, where degree and length was obtained. Values for both parameters were compared between 36 patients and 18 normal controls separately. Accuracy and precision was derived from 17 phantom studies. Average degree and length of tracheal stenoses was found to be 60.5% and 4.32 cm in patients compared with minor caliber changes of 8.8% and 2.31 cm in normal controls (p ≪ 0.0001). For the phantoms an excellent correlation between the true and computed 3-D cross-sectional profile was found (p ≪ 0.005) and an accuracy for length and degree measurements of 2.14 mm and 2.53% respectively could be determined. The corresponding figures for the precision were found to be 0.92 mm and 2.56%. LTT 3-D cross-sectional profiles permit objective, accurate and precise assessment of LTT caliber changes. Minor LTT caliber changes can be observed even in normals and, in case of an otherwise normal S-CT study, can be regarded as artifacts.
  • Keywords
    computerised tomography; feature extraction; fuzzy set theory; image segmentation; image thinning; medical image processing; pneumodynamics; 3-D-skeletonization; airway obstruction; automated segmentation; caliber changes; cross-sectional profiles; feature extraction; fuzzy connectedness; laryngotracheal tract; semitransparent volume rendering; skeletonization algorithm; spiral computed tomography; spiral-CT-based assessment; tracheal stenoses; Biomedical measurements; Computed tomography; Diseases; Hospitals; Image processing; Imaging phantoms; Magnetic resonance imaging; Radiology; Shape; Spirals; Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Child; Child, Preschool; Endoscopy; Fuzzy Logic; Humans; Imaging, Three-Dimensional; Infant; Middle Aged; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Tomography, Spiral Computed; Tracheal Stenosis;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.996344
  • Filename
    996344