8 March 2007 Bronchopulmonary segments approximation using anatomical atlas
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Bronchopulmonary segments are valuable as they give more accurate localization than lung lobes. Traditionally, determining the segments requires segmentation and identification of segmental bronchi, which, in turn, require volumetric imaging data. In this paper, we present a method for approximating the bronchopulmonary segments for sparse data by effectively using an anatomical atlas. The atlas is constructed from a volumetric data and contains accurate information about bronchopulmonary segments. A new ray-tracing based image registration is used for transferring the information from the atlas to a query image. Results show that the method is able to approximate the segments on sparse HRCT data with slice gap up to 25 millimeters.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sata Busayarat, Sata Busayarat, Tatjana Zrimec, Tatjana Zrimec, } "Bronchopulmonary segments approximation using anatomical atlas", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122O (8 March 2007); doi: 10.1117/12.709651; https://doi.org/10.1117/12.709651


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