Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection

Mariusz W. Pietrzyk; Fabian Zöhrer; Markus T. Harz; Mark McEntee; Horst K. Hahn; Tamara Haygood; Michael G. Evanoff; Patrick C. Brennan

doi:10.1117/12.911610

Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection

Mariusz W. Pietrzyk, Fabian Zöhrer, Markus T. Harz, Mark McEntee, Horst K. Hahn, Tamara Haygood, Michael G. Evanoff, Patrick C. Brennan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Medical Imaging 2012
Subtitle of host publication	Image Perception, Observer Performance, and Technology Assessment
Editors	Craig K. Abbey, Claudia R. Mello-Thoms
Publisher	SPIE
ISBN (Electronic)	9780819489678
DOIs	https://doi.org/10.1117/12.911610
State	Published - 2012
Externally published	Yes
Event	Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment - San Diego, United States Duration: Feb 8 2012 → Feb 9 2012

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	8318
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Country/Territory	United States
City	San Diego
Period	2/8/12 → 2/9/12

Keywords

Enhancement
JAFORC
MCMR ROC DBM
Multi-scale processing

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.911610

Cite this

Pietrzyk, M. W., Zöhrer, F., Harz, M. T., McEntee, M., Hahn, H. K., Haygood, T., Evanoff, M. G., & Brennan, P. C. (2012). Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection. In C. K. Abbey, & C. R. Mello-Thoms (Eds.), Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment Article 831816 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8318). SPIE. https://doi.org/10.1117/12.911610

Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection. / Pietrzyk, Mariusz W.; Zöhrer, Fabian; Harz, Markus T. et al.
Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment. ed. / Craig K. Abbey; Claudia R. Mello-Thoms. SPIE, 2012. 831816 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8318).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pietrzyk, MW, Zöhrer, F, Harz, MT, McEntee, M, Hahn, HK, Haygood, T, Evanoff, MG & Brennan, PC 2012, Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection. in CK Abbey & CR Mello-Thoms (eds), Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment., 831816, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8318, SPIE, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, San Diego, United States, 2/8/12. https://doi.org/10.1117/12.911610

Pietrzyk MW, Zöhrer F, Harz MT, McEntee M, Hahn HK, Haygood T et al. Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection. In Abbey CK, Mello-Thoms CR, editors, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment. SPIE. 2012. 831816. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.911610

Pietrzyk, Mariusz W. ; Zöhrer, Fabian ; Harz, Markus T. et al. / Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection. Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment. editor / Craig K. Abbey ; Claudia R. Mello-Thoms. SPIE, 2012. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

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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.",

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year = "2012",

doi = "10.1117/12.911610",

language = "English (US)",

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AU - Zöhrer, Fabian

AU - Harz, Markus T.

AU - McEntee, Mark

AU - Hahn, Horst K.

AU - Haygood, Tamara

AU - Evanoff, Michael G.

AU - Brennan, Patrick C.

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N2 - 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.

AB - 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.

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Effect of morphing between unenhanced and multi-scale enhanced chest radiographs on pulmonary nodule detection

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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