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Proceedings Paper

Effect of morphing between unenhanced and multiscale enhanced chest radiographs on pulmonary nodule detection
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Paper 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.

Paper Details

Date Published: 22 February 2012
PDF: 8 pages
Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 831816 (22 February 2012); doi: 10.1117/12.911610
Show Author Affiliations
Mariusz W. Pietrzyk, The Univ. of Sydney (Australia)
Fabian Zöhrer, The Univ. of Texas M.D. Anderson Cancer Ctr. (Germany)
Markus T. Harz, Fraunhofer MEVIS (Germany)
Mark McEntee, The Univ. of Sydney (Australia)
Horst K. Hahn, Fraunhofer MEVIS (Germany)
Tamara Haygood, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)
Michael G. Evanoff, The American Board of Radiology (United States)
Patrick C. Brennan, The Univ. of Sydney (Australia)


Published in SPIE Proceedings Vol. 8318:
Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey; Claudia R. Mello-Thoms, Editor(s)

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