This paper presents a method for modelling human lungs using knowledge of lung anatomy and High Resolution CT images. The model consists of a symbolic anatomical structure map and an annotated 3D atlas. The model is implemented using Frame structures. Frames provide a good platform for the comprehensive description of anatomical features and for enabling communication between the image data and the symbolic knowledge. A few important landmarks have been determined and used to divide the lung into clinically meaningful regions, which enable accurate mapping of the model to patient data. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Zrimec, T., Busayarat, S., & Wilson, P. (2004). A 3D model of the human lung. In Lecture Notes in Computer Science (Vol. 3217, pp. 1074–1075). Springer Verlag. https://doi.org/10.1007/978-3-540-30136-3_143
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