Abstract
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.
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Li, B., Christensen, E.G., Hoffman, E.A., et al.: Establishing a Normative Atlas of the Human Lung: Intersubject Warping and Registration of Volumetric CT Images. Acad. Radiol. 10, 255–265 (2003)
Zrimec, T., Sammut, C.: A Medical Image Understanding System. Engineering applications of Artificial Intelligence 10(1), 31–39 (1997)
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© 2004 Springer-Verlag Berlin Heidelberg
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Zrimec, T., Busayarat, S., Wilson, P. (2004). A 3D Model of the Human Lung. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30136-3_143
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DOI: https://doi.org/10.1007/978-3-540-30136-3_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22977-3
Online ISBN: 978-3-540-30136-3
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