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Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems

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Breast Imaging (IWDM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7361))

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Abstract

The purpose of the study is to evaluate the inter- and intra-observer variability of the radiologists in evaluation of the similarity between the query and retrieved ulatasound images containing breast masses by the Content-Based Image Retrieval (CBIR) CADx system. Three radiologists rated the similarity between the query masses and the computer-retrieved (ED-CBIR) masses. Three CBIR systems based on each radiologist’s subjective similarity ratings (R-CBIRs) were formed and compared with the ED-CBIR. The intra-observer variability was smaller than the inter-observer variability for all three radiologists. The radiologists’ performance with the R-CBIRs produced similarity ratings results close to the radiologists’ performance with the ED-CBIR. The average difference in classification accuracy (Az) between the ED-CBIR and the R-CBIRs was slightly lower than the average difference in Az between the R-CBIRs. The relatively large intra- and inter-observer variability may make more difficult to evaluate the effect of the CBIR CADx systems on radiologists’ performance.

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References

  1. Cho, H.C., Hadjiiski, L., Sahiner, B., Chan, H.P., Helvie, M., Paramagul, C., Nees, A.V.: Similarity Evaluation in a Content-Based Image Retrieval (CBIR) CADx System for Characterization of Breast Masses on Ultrasound Images. Medical Physics 38, 1820–1831 (2011)

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  2. Cho, H.C., Hadjiiski, L., Chan, H.P., Sahiner, B., Helvie, M., Paramagul, C., Nees, A.V.: A similarity study between the query mass and retrieved masses using decision tree content-based image retrieval (DTCBIR) CADx system for characterization of ultrasound breast mass images. In: Proc. SPIE Medical Imaging, vol. 8315, pp. 831528-1–831528-7 (2012)

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  3. Cho, H.C., Hadjiiski, L., Sahiner, B., Chan, H.P., Paramagul, C., Helvie, M., Nees, A.V.: Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback. In: Proc. SPIE Medical Imaging, vol. 8315, 831509-1–831509-7 (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Hadjiiski, L. et al. (2012). Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds) Breast Imaging. IWDM 2012. Lecture Notes in Computer Science, vol 7361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31271-7_62

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  • DOI: https://doi.org/10.1007/978-3-642-31271-7_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31270-0

  • Online ISBN: 978-3-642-31271-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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