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Proceedings Paper

Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database
Author(s): Rafael Wiemker; Martin Bergtholdt; Ekta Dharaiya; Sven Kabus; Michael C. Lee
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Paper Abstract

We have analyzed 3000 nodule delineations and malignancy ratings of pulmonary nodules made by expert observers in the IDRI CT lung image database. The agreement between nodule volume from automatic segmentation and expert delineations is almost as high as inter-observer agreement. For the experts' malignancy rating the inter-observer agreement is quite modest. Linear and support vector regression models have been tested to emulate the expert malignancy rating from a small number of automatically computed numerical image features. Machine-observer and inter-observer agreement have been evaluated using linear correlation and weighted kappa coefficient. The results suggest that the numerical computed malignancy - if considered as an additional observer - cannot be distinguished from the expert ratings.

Paper Details

Date Published: 27 February 2009
PDF: 12 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72600H (27 February 2009); doi: 10.1117/12.811569
Show Author Affiliations
Rafael Wiemker, Philips Research (Germany)
Martin Bergtholdt, Philips Research (Germany)
Ekta Dharaiya, Philips Healthcare CT (United States)
Sven Kabus, Philips Research (Germany)
Michael C. Lee, Philips Research North America (United States)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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