In the framework of computer-aided diagnosis, this paper proposes a novel functionality for computerized tomography (CT)based investigation of pulmonary airways. It provides a specific visualization modality - the virtual CT bronchography - together with quantitative investigation via a central axis-based description. This functionality relies on an energy-based 3D reconstruction of the bronchial tree up to the ???? order divisions. The originality of the 3D reconstruction approach consists in combining axial and radial propagation potentials in a growthdriven process, which is applied to a subset of low-order airways extracted from the CT volume by means of a robust mathematical morphology operator. The tree central axis, which provides the navigation and quantification functionalities, is computed via a recursive procedure applied to each bronchial segment, based on geodesic front propagation. Validated by expert radiologists, examples of virtual CT bronchographies are presented for...
Catalin I. Fetita, Françoise J. Prête