NDLI: An innovative lung segmentation algorithm in CT images with accurate delimitation of the hilus pulmonis

Content Provider	IEEE Xplore Digital Library
Author	De Nunzio, Giorgio Tommasi, Eleonora Agrusti, Antonella Cataldo, Rosella De Mitri, Ivan Favetta, Marco Bellotti, Roberto Tangaro, Sabina Camarlinghi, Niccolo Cerello, Piergiorgio
Copyright Year	2008
Description	Author affiliation: University of Salento and INFN - Lecce - Italy (Tommasi, Eleonora) \|\| Università di Pisa (Italy) (Camarlinghi, Niccolo) \|\| INFN - Bari - Italy (Tangaro, Sabina) \|\| Dipartimento di Scienza dei Materiali, Università del Salento (Lecce, Italy) (De Nunzio, Giorgio; Agrusti, Antonella; Cataldo, Rosella; De Mitri, Ivan; Favetta, Marco; Bellotti, Roberto) \|\| INFN - Torino - Italy (Cerello, Piergiorgio)
Abstract	This paper proposes a new segmentation method for the delimitation of the lung parenchyma in thorax Computed-Tomography (CT) datasets, which will be used as pre-processing step in the CAD (Computer Assisted Detection) system for lung nodule detection that is being developed by the MAGIC-5 (Medical Applications in a Grid Infrastructure Connection) Collaboration. Once finished, the CAD software will run in an integrated “grid” environment, where the potentiality of distributed resources for both data and computation will be exploited. The algorithm is fully automated and three-dimensional (3D). Its most innovative part - to the best of our knowledge - is the segmentation of the external airways (trachea and bronchi), obtained by 3D region growing with wavefront simulation and suitable stop conditions. Another original element is the technique used to check and solve the problem of the apparent ‘fusion’ between the lungs, caused by partial volume effects. A general overview of the algorithm is given, with some details of the innovative parts. The results of its application to a database of about 130 high-resolution low-dose images are discussed.
Starting Page	5359
Ending Page	5361
File Size	1091340
Page Count	3
File Format	PDF
ISBN	9781424427147
ISSN	10957863
DOI	10.1109/NSSMIC.2008.4774443
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-19
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lungs Image segmentation Computed tomography Grid computing Thorax Medical services Biomedical equipment Collaboration Distributed computing Respiratory system lung nodules CAD system image segmentation region growing grid
Content Type	Text
Resource Type	Article

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