Detection of lung nodule candidates in chest radiographs

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Carlos S Pereira (Author) Other; Hugo Fernandes (Author) Other; Ana Maria Mendonca (Author) FEUP; Aurelio Campilho (Author) FEUP

Conference proceedings International

Title: Pattern Recognition and Image Analysis (Part 2)

Pages: 170-177

IbPRIA 2007 - Iberian Conference on Pattern Recognition and Image Analysis

Girona, Spain, 6 a 8 de Junho de 2007

Indexing

ISI Proceedings

ISI Web of Knowledge - 26 Citations

Scopus - 30 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-E59

DOI: 10.1007/978-3-540-72849-8_22

Abstract (EN): This paper presents an automated method for the selection of a set of lung nodule candidates, which is the first stage of a computer-aided diagnosis system for the detection of pulmonary nodules. An innovative operator, called sliding band filter (SBF), is used for enhancing the lung field areas. In order to reduce the influence of the blood vessels near the mediastinum, this filtered image is multiplied by a mask that assigns to each lung field point an a priori probability of belonging to a nodule. The result is further processed with a watershed segmentation method that divides each lung field into a set of non-overlapping areas. Suspicious nodule locations are associated with the regions containing the highest regional maximum values. The proposed method, whose result is an ordered set of lung nodule candidate regions, was evaluated on the 247 images of the JSRT database with very promising results.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8