Paper
1 March 2005 Three-dimensional reconstruction of upper airways from MDCT
Diane Perchet, Catalin Fetita, Francoise Preteux
Author Affiliations +
Proceedings Volume 5672, Image Processing: Algorithms and Systems IV; (2005) https://doi.org/10.1117/12.587741
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
In the framework of clinical respiratory investigation, providing accurate modalities for morpho-functional analysis is essential for diagnosis improvement, surgical planning and follow-up. This paper focuses on the upper airways investigation and develops an automated approach for 3D mesh reconstruction from MDCT acquisitions. In order to overcome the difficulties related to the complex morphology of the upper airways and to the image gray level heterogeneity of the airway lumens and thin cartilaginous septa, the proposed 3D reconstruction methodology combines 2D segmentation and 3D surface regularization approaches. The segmentation algorithm relies on mathematical morphology theory and provides robust discrimination of the airway lumen from the surrounding tissues, while preserving the connectivity relationship between the different anatomical structures. The 3D regularization step uses an energy-based modeling in order to achieve a smooth and well-fitted 3D surface of the upper airways. An accurate 3D mesh representation of the reconstructed airways makes it possible to develop specific clinical applications such as virtual endoscopy, surgical planning and computer assisted intervention. In addition, building up patient-specific 3D models of upper airways is highly valuable for the study and design of inhaled medication delivery via computational fluid dynamics (CFD) simulations.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Diane Perchet, Catalin Fetita, and Francoise Preteux "Three-dimensional reconstruction of upper airways from MDCT", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); https://doi.org/10.1117/12.587741
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

3D modeling

3D image processing

Tissues

3D acquisition

Binary data

Mathematical modeling

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