The automated extraction of the pulmonary parenchyma in CT images is the most crucial step in a computer-aided diagnosis (CAD) system. Actually, the following step of analysis of the lung's internal structure, aimed at lesion detection and diagnosis, works on the identified pulmonary regions.In this paper we describe a method, consisting of an appropriate combination of image processing techniques, for the automated identification of the pulmonary volume. We present and discuss the results of the method application to computed-tomography (CT) examinations performed in a screening program for early detection of lung cancer.

Segmentation and reconstruction of the lung volume in CT images

ANTONELLI, MICHELA;LAZZERINI, BEATRICE;MARCELLONI, FRANCESCO
2005

Abstract

The automated extraction of the pulmonary parenchyma in CT images is the most crucial step in a computer-aided diagnosis (CAD) system. Actually, the following step of analysis of the lung's internal structure, aimed at lesion detection and diagnosis, works on the identified pulmonary regions.In this paper we describe a method, consisting of an appropriate combination of image processing techniques, for the automated identification of the pulmonary volume. We present and discuss the results of the method application to computed-tomography (CT) examinations performed in a screening program for early detection of lung cancer.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/190746
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