A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model

6533b86efe1ef96bd12cc0a1

RESEARCH PRODUCT

A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model

G. Gargano Donato Cascio Sandro Squarcia I. De Mitri Alessandra Retico Daniele Grosso E. Tommasi F. De Carlo Sabina Tangaro Bruno Golosio P. Cerello Roberto Bellotti Pasquale Delogu Sc Cheran C. Fulcheri Ezio Catanzariti

subject

medicine.medical_specialty Lung Neoplasms Radiation Dosage Models Biological Edge detection Image processing Medical imaging medicine Humans Diagnosis Computer-Assisted Computed radiography computer-aided diagnosis (CAD)Lung image segmentation Computed tomography Active contour model Image segmentation business.industry computed tomography General Medicine Image segmentation Computer-aided diagnosis (CAD)image processing ROC Curve Region growing Computer-aided diagnosis Radiology Tomography Neural Networks Computer computer-aided diagnosis (CAD)image processingcomputed tomographyimage segmentation Nuclear medicine business Tomography X-Ray Computed Algorithms

description

A computer-aided detection (CAD) system for the selection of lung nodules in computer tomography (CT) images is presented. The system is based on region growing (RG) algorithms and a new active contour model (ACM), implementing a local convex hull, able to draw the correct contour of the lung parenchyma and to include the pleural nodules. The CAD consists of three steps: (1) the lung parenchymal volume is segmented by means of a RG algorithm; the pleural nodules are included through the new ACM technique; (2) a RG algorithm is iteratively applied to the previously segmented volume in order to detect the candidate nodules; (3) a double-threshold cut and a neural network are applied to reduce the false positives (FPs). After having set the parameters on a clinical CT, the system works on whole scans, without the need for any manual selection. The CT database was recorded at the Pisa center of the ITALUNG-CT trial, the first Italian randomized controlled trial for the screening of the lung cancer. The detection rate of the system is 88.5% with 6.6 FPs/CT on 15 CT scans (about 4700 sectional images) with 26 nodules: 15 internal and 11 pleural. A reduction to 2.47 FPs/CT is achieved at 80% efficiency. © 2007 American Association of Physicists in Medicine.

year	journal	country	edition	language
2007-01-01

10.1118/1.2804720 http://hdl.handle.net/10447/21586