Accurate measurement of respiratory airway wall thickness in CT images using a signal restoration technique

Sang Joon Park; Tae Jung Kim; Kwang Gi Kim; Sang Ho Lee; Jin Mo Goo; Jong Hyo Kim

doi:10.1117/12.771038

18 March 2008 Accurate measurement of respiratory airway wall thickness in CT images using a signal restoration technique

Sang Joon Park, Tae Jung Kim, Kwang Gi Kim, Sang Ho Lee, Jin Mo Goo, Jong Hyo Kim

Author Affiliations +

Proceedings Volume 6913, Medical Imaging 2008: Physics of Medical Imaging; 691336 (2008) https://doi.org/10.1117/12.771038
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

Airway wall thickness (AWT) is an important bio-marker for evaluation of pulmonary diseases such as chronic bronchitis, bronchiectasis. While an image-based analysis of the airway tree can provide precise and valuable airway size information, quantitative measurement of AWT in Multidetector-Row Computed Tomography (MDCT) images involves various sources of error and uncertainty. So we have developed an accurate AWT measurement technique for small airways with three-dimensional (3-D) approach. To evaluate performance of these techniques, we used a set of acryl tube phantom was made to mimic small airways to have three different sizes of wall diameter (4.20, 1.79, 1.24 mm) and wall thickness (1.84, 1.22, 0.67 mm). The phantom was imaged with MDCT using standard reconstruction kernel (Sensation 16, Siemens, Erlangen). The pixel size was 0.488 mm × 0.488 mm × 0.75 mm in x, y, and z direction respectively. The images were magnified in 5 times using cubic B-spline interpolation, and line profiles were obtained for each tube. To recover faithful line profile from the blurred images, the line profiles were deconvolved with a point spread kernel of the MDCT which was estimated using the ideal tube profile and image line profile. The inner diameter, outer diameter, and wall thickness of each tube were obtained with full-width-half-maximum (FWHM) method for the line profiles before and after deconvolution processing. Results show that significant improvement was achieved over the conventional FWHM method in the measurement of AWT.

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Sang Joon Park, Tae Jung Kim, Kwang Gi Kim, Sang Ho Lee, Jin Mo Goo, and Jong Hyo Kim "Accurate measurement of respiratory airway wall thickness in CT images using a signal restoration technique", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691336 (18 March 2008); https://doi.org/10.1117/12.771038

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