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Proceedings Paper

Performance evaluation of image processing algorithms in digital mammography
Author(s): Federica Zanca; Chantal Van Ongeval; Jurgen Jacobs; Herman Pauwels; Guy Marchal; Hilde Bosmans
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Paper Abstract

The purpose of the study is to evaluate the performance of different image processing algorithms in terms of representation of microcalcification clusters in digital mammograms. Clusters were simulated in clinical raw ("for processing") images. The entire dataset of images consisted of 200 normal mammograms, selected out of our clinical routine cases and acquired with a Siemens Novation DR system. In 100 of the normal images a total of 142 clusters were simulated; the remaining 100 normal mammograms served as true negative input cases. Both abnormal and normal images were processed with 5 commercially available processing algorithms: Siemens OpView1 and Siemens OpView2, Agfa Musica1, Sectra Mamea AB Sigmoid and IMS Raffaello Mammo 1.2. Five observers were asked to locate and score the cluster(s) in each image, by means of dedicated software tool. Observer performance was assessed using the JAFROC Figure of Merit. FROC curves, fitted using the IDCA method, have also been calculated. JAFROC analysis revealed significant differences among the image processing algorithms in the detection of microcalcifications clusters (p=0.0000369). Calculated average Figures of Merit are: 0.758 for Siemens OpView2, 0.747 for IMS Processing 1.2, 0.736 for Agfa Musica1 processing, 0.706 for Sectra Mamea AB Sigmoid processing and 0.703 for Siemens OpView1. This study is a first step towards a quantitative assessment of image processing in terms of cluster detection in clinical mammograms. Although we showed a significant difference among the image processing algorithms, this method does not on its own allow for a global performance ranking of the investigated algorithms.

Paper Details

Date Published: 6 March 2008
PDF: 11 pages
Proc. SPIE 6917, Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, 691709 (6 March 2008); doi: 10.1117/12.767327
Show Author Affiliations
Federica Zanca, Leuven Univ. Ctr. of Medical Physics in Radiology (Belgium)
Chantal Van Ongeval, Leuven Univ. Ctr. of Medical Physics in Radiology (Belgium)
Jurgen Jacobs, Leuven Univ. Ctr. of Medical Physics in Radiology (Belgium)
Herman Pauwels, Leuven Univ. Ctr. of Medical Physics in Radiology (Belgium)
Guy Marchal, Leuven Univ. Ctr. of Medical Physics in Radiology (Belgium)
Hilde Bosmans, Leuven Univ. Ctr. of Medical Physics in Radiology (Belgium)


Published in SPIE Proceedings Vol. 6917:
Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment
Berkman Sahiner; David J. Manning, Editor(s)

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