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Proceedings Paper

3D bronchial tree model and fractal analysis as tools for the performance evaluation of different CT acquisition/reconstruction schemes
Author(s): Jiang Qian; Theophano Mitsa; Gopal Sundaramoorthy; Eric A. Hoffman
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Paper Abstract

We present an algorithm for the construction of a 3D bronchial tree representation based on an asymmetric dichotomy model proposed by Weibel. The model has a total of ten branch generations and three independent parameters for each branch. The bronchial tree model is constructed by dividing each branch of a generation into two subbranches, except for the first few generations where some branches divided into three subbranches. The bronchial tree model is used as a testground to simulate different CT acquisition/reconstruction schemes and examine the role of CT parameters, such as slice thickness and overlap/spacing, on the measurement of fractal properties of the lung. A digital version of the model with high resolution (0.2 mm/pix) is created first. Acquisition schemes are then simulated by dividing this high resolution version of the model into cross-sections and summing one or more cross- sections to form a series of 2D slices. Three acquisition schemes are simulated by choosing different ways to generate these 2D slices. To reconstruct the 3D bronchial tree structure from a series of 2D slices, interpolation is applied between the 2D slices to recover the original volume. Two types of interpolations are used here: (1) slice repetition (2) linear interpolation. Fractal measures of the 3D bronchial tree structure are estimated from the reconstructed images and compared with the same measures from the high resolution model.

Paper Details

Date Published: 24 May 1995
PDF: 8 pages
Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); doi: 10.1117/12.209683
Show Author Affiliations
Jiang Qian, Univ. of Iowa (United States)
Theophano Mitsa, Univ. of Iowa (United States)
Gopal Sundaramoorthy, Univ. of Iowa College of Medicine (United States)
Eric A. Hoffman, Univ. of Iowa College of Medicine (United States)


Published in SPIE Proceedings Vol. 2433:
Medical Imaging 1995: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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