Automatic detection of pleural effusion in chest radiographs
- PMID: 26688067
- DOI: 10.1016/j.media.2015.09.004
Automatic detection of pleural effusion in chest radiographs
Abstract
Automated detection of Tuberculosis (TB) using chest radiographs (CXRs) is gaining popularity due to the lack of trained human readers in resource limited countries with a high TB burden. The majority of the computer-aided detection (CAD) systems for TB focus on detection of parenchymal abnormalities and ignore other important manifestations such as pleural effusion (PE). The costophrenic angle is a commonly used measure for detecting PE, but has limitations. In this work, an automatic method to detect PE in the left and right hemithoraces is proposed and evaluated on a database of 638 CXRs. We introduce a robust way to localize the costophrenic region using the chest wall contour as a landmark structure, in addition to the lung segmentation. Region descriptors are proposed based on intensity and morphology information in the region around the costophrenic recess. Random forest classifiers are trained to classify left and right hemithoraces. Performance of the PE detection system is evaluated in terms of recess localization accuracy and area under the receiver operating characteristic curve (AUC). The proposed method shows significant improvement in the AUC values as compared to systems which use lung segmentation and the costophrenic angle measurement alone.
Keywords: Automated; Computer-aided detection (CAD); Costophrenic angle; Pleural fluid; Tuberculosis.
Copyright © 2015 Elsevier B.V. All rights reserved.
Similar articles
-
Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming.Med Phys. 2014 Jul;41(7):071912. doi: 10.1118/1.4881096. Med Phys. 2014. PMID: 24989390
-
Automatic detection of lesions in lung regions that are segmented using spatial relations.Clin Imaging. 2013 May-Jun;37(3):498-503. doi: 10.1016/j.clinimag.2012.07.010. Epub 2012 Sep 5. Clin Imaging. 2013. PMID: 23601768
-
An edge-region force guided active shape approach for automatic lung field detection in chest radiographs.Comput Med Imaging Graph. 2012 Sep;36(6):452-63. doi: 10.1016/j.compmedimag.2012.04.005. Epub 2012 May 18. Comput Med Imaging Graph. 2012. PMID: 22608158
-
Global and local multi-valued dissimilarity-based classification: application to computer-aided detection of tuberculosis.Med Image Comput Comput Assist Interv. 2009;12(Pt 2):724-31. doi: 10.1007/978-3-642-04271-3_88. Med Image Comput Comput Assist Interv. 2009. PMID: 20426176
-
Computerized delineation and analysis of costophrenic angles in digital chest radiographs.Acad Radiol. 1998 May;5(5):329-35. doi: 10.1016/s1076-6332(98)80151-7. Acad Radiol. 1998. PMID: 9597100
Cited by
-
Explaining the black-box smoothly-A counterfactual approach.Med Image Anal. 2023 Feb;84:102721. doi: 10.1016/j.media.2022.102721. Epub 2022 Dec 13. Med Image Anal. 2023. PMID: 36571975 Free PMC article.
-
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network.Expert Syst Appl. 2023 Jan;211:118576. doi: 10.1016/j.eswa.2022.118576. Epub 2022 Aug 27. Expert Syst Appl. 2023. PMID: 36062267 Free PMC article.
-
Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification.Comput Methods Programs Biomed. 2022 Jul;222:106947. doi: 10.1016/j.cmpb.2022.106947. Epub 2022 Jun 9. Comput Methods Programs Biomed. 2022. PMID: 35749885 Free PMC article.
-
Detection and Semiquantitative Analysis of Cardiomegaly, Pneumothorax, and Pleural Effusion on Chest Radiographs.Radiol Artif Intell. 2021 May 19;3(4):e200172. doi: 10.1148/ryai.2021200172. eCollection 2021 Jul. Radiol Artif Intell. 2021. PMID: 34350406 Free PMC article.
-
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.J Digit Imaging. 2021 Aug;34(4):922-931. doi: 10.1007/s10278-021-00494-7. Epub 2021 Jul 29. J Digit Imaging. 2021. PMID: 34327625 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous