胸部X線エネルギーサブトラクション画像を対象とした時間的差分法による微細病巣陰影の強調

概要

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We developed a temporal subtraction technique for the detection of subtle anomalies on temporally sequential bone-subtracted chest radiographs(soft tissue image)by energy subtraction. To recognized the temporal changes in a current soft tissue image in comparison with those in a previous soft tissue image, we attempted to enhance the changes by a difference image processing technique. The lung markings were enhanced by the first derivative filter. The image registration for the lung marking on both images by the sequential similarity detection algorithm(SSDA)method was then employed. The soft tissue image provided by the energy subtraction technique was excellent in its detection of subtle abnormalities in the lung, and this method was able to detect subtle abnormalities such as infiltrates and nodules missed in screening. It was suggested that this temporal subtraction technique improves accuracy when radiologists diagnose soft tissue chest images by x-ray energy subtraction.
社団法人日本放射線技術学会の論文
2000-03-20