Development of a chest digital tomosynthesis system for improvement of lung cancer detection

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We developed the ripple-artifacts reduction processing which added to a chest digital tomosynthesis image and performed fundamental experiment evaluation and clinical evaluation to inspect utility of ripple-artifacts reduction processing. We compared with a chest radiography image from fundamental evaluation and clinical evaluation (receiver operative characteristic curve analysis) and were able to significantly improve nodule detectability and specificity (p<.0001).