Translator Disclaimer
Paper
22 February 2012 Effect of morphing between unenhanced and multiscale enhanced chest radiographs on pulmonary nodule detection
Author Affiliations +
Abstract
Aim: This study aims to determine the effectiveness of a novel image-processing algorithm for multi-scale enhancement of chest radiographs to improve detection and localization of real pulmonary nodules. Background: Our wavelet-based enhancement method interactively adjusts the contrast of medical images extracting the spatial frequency components at different scales, followed by a weighting procedure. This study aims to explore the usefulness of this novel procedure for chest image reporting. Method: Sixteen radiologists viewed 50 PA chest radiographs in order to localize pulmonary nodules. The databank contains 25 normal and 25 abnormal images, with multi-nodule cases. Subjects were allowed to mark unlimited number of locations followed by ranking confidence of nodule presence according to a 5-level scale. Subjects viewed all cases at least in two out of three conditions: unprocessed, enhanced and with morphing between these two. MCMR ROC and JAFROC analyses were conducted. Results: No significant differences were found in ROC AUC values across modalities and specialities. Only localization performance with morphing tool is significantly higher (F(1,8)=13.303, p=0.007) for chest expert (JAFROC FOM=0.6355) from non-chest (JAFROC FOM=0.4675) radiologists. Conclusion: Radiologists specialized in chest image interpretation performed consistently well in localizing pulmonary nodules, whereas non-chest radiologists were suffer from distracting effect of morphing tool.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mariusz W. Pietrzyk, Fabian Zöhrer, Markus T. Harz, Mark McEntee, Horst K. Hahn, Tamara Haygood, Michael G. Evanoff, and Patrick C. Brennan "Effect of morphing between unenhanced and multiscale enhanced chest radiographs on pulmonary nodule detection", Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 831816 (22 February 2012); https://doi.org/10.1117/12.911610
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
Back to Top