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
fDate :
3/1/2002 12:00:00 AM
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;
Journal_Title :
Medical Imaging, IEEE Transactions on