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13 April 2012 Computerized scheme for lung nodule detection in multi-projection chest radiography
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Abstract
Our purposes are to develop a conventional computer-aided diagnostic (CAD) scheme and a new fusion CAD scheme for the detection of lung nodules in multi-projection chest radiography, and to verify that information fused from the multi-projection chest radiography can greatly improve the performance of the conventional CAD scheme. The conventional CAD scheme processed each of the three projection images of a subject independently, and discarded the correlation information between the three images. The fusion CAD scheme registered all candidates detected by the conventional CAD scheme in the three images of a subject, and integrated the correlation information between the registered candidates to remove false positives. The CAD schemes were trained and evaluated on a database with 97 subjects. At the sensitivities of 70%, 65% and 60%, the conventional CAD scheme reported 20.4, 13.6 and 8.8 false positives per image, respectively, whereas the fusion CAD scheme reported 4.5, 2.8 and 1.2 false positives per image, respectively. The fusion of correlation information can markedly improve the performance of CAD scheme for lung nodule detection.
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Wei Guo, Qiang Li, Sarah J. Boyce, H. Page McAdams, Junji Shiraishi, Kunio Doi, and Ehsan Samei "Computerized scheme for lung nodule detection in multi-projection chest radiography", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83150T (13 April 2012); https://doi.org/10.1117/12.911881
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