胸部単純X線写真における特徴量解析のための肋骨影を避けた関心領域設定法の比較検討

概要

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To eliminate rib opacities on chest radiographs for quantitatively evaluation of lung opacities, we have developed an automatic algorithm, which sets up sub-regions of interest (sub-ROIs) for avoiding rib opacities in the analysis on chest radiographs. In the first step, a region of interest (ROI) was selected on a chest radiograph, and a 4th-order-polynomial surface was used for background density correction. In the next step, a one-directional Laplacian-Gaussian filter was used for enhancement of rib opacities. In the third step, the image was binarized on the ROI with a multiple threshold method, and then a morphological filter was used for elimination of noise components. Finally, we divided the ROI into some lattice regions and set up sub-ROIs. We calculated the area ratio of rib opacities in the sub-ROIs and judged the existence of rib opacities according to this sub-ROIs. We employed ROC analysis to evaluate the performance of this algorithm. In conclusion, this algorithm could set up sub-ROIs, which avoid rib opacities for image feature analysis of lung opacities.
医用画像情報学会の論文
2004-05-01