|
|||||
|
|
Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images |
|
| Authors: | Jorge Juan Suárez-Cuenca Pablo G Tahoces María J Lado Jacques Remy |
| Institution: | a Department of Radiology, University of Santiago de Compostela (CHUS), Spain b Department of Electronics and Computer Science, University of Santiago de Compostela, Spain c Department of Computer Science, ESEI, University of Vigo, Spain d Department of Thoracic Imaging, Hospital Calmette, University Center of Lille, France |
| Abstract: | We have developed a computer-aided diagnosis (CAD) system to detect pulmonary nodules on thin-slice helical computed tomography (CT) images. We have also investigated the capability of an iris filter to discriminate between nodules and false-positive findings. Suspicious regions were characterized with features based on the iris filter output, gray level and morphological features, extracted from the CT images. Functions calculated by linear discriminant analysis (LDA) were used to reduce the number of false-positives.The system was evaluated on CT scans containing 77 pulmonary nodules. The system was trained and evaluated using two completely independent data sets. Results for a test set, evaluated with free-response receiver operating characteristic (FROC) analysis, yielded a sensitivity of 80% at 7.7 false-positives per scan. |
| Keywords: | Computer-aided diagnosis Pulmonary nodule Multidetector computed tomography (MDCT) Thin-slice CT 3D iris filter |
| 本文献已被 ScienceDirect 等数据库收录！ | |