@article{oai:kanazawa-u.repo.nii.ac.jp:00013286,
 author = {田中, 利恵 and 真田, 茂 and 藤村, 政樹 and 安井, 正英 and 林, 則夫 and 辻, 志郎 and 岡本, 博之 and 松井, 修 and Tanaka, Rie and Sanada, Shigeru and Fujimura, Masaki and Yasui, Masahide and Hayashi, Norio and Tsuji, Shiro and Okamoto, Hiroyuki and Nanbu, Yuko and Matsui, Osamu},
 issue = {1},
 journal = {Radiological Physics and Technology},
 month = {Jan},
 note = {Pulmonary blood flow is reflected in dynamic chest radiographs as changes in X-ray translucency, i.e., pixel values. Thus, decreased blood flow should be observed as a reduction of the variation of X-ray translucency. We performed the present study to investigate the feasibility of pulmonary blood flow evaluation with a dynamic flat-panel detector (FPD). Sequential chest radiographs of 14 subjects were obtained with a dynamic FPD system. The changes in pixel value in each local area were measured and mapped on the original image by use of a gray scale in which small and large changes were shown in white and black, respectively. The resulting images were compared to the findings in perfusion scans. The cross-correlation coefficients of the changes in pixel value and radioactivity counts in each local area were also computed. In all patients, pulmonary blood flow disorder was indicated as a reduction of changes in pixel values on the mapping image, and a correlation was observed between the distribution of changes in pixel value and those in radioactivity counts (0.7 ≤ r, 3 cases; 0.4 ≤ r < 0.7, 7 cases; 0.2 ≤ r < 0.4, 4 cases). The results indicated that the distribution of changes in pixel value could provide a relative measure related to pulmonary blood flow. The present method is potentially useful for evaluating pulmonary blood flow as an additional examination in conventional chest radiography. © 2009 Japanese Society of Radiological Technology and Japan Society of Medical Physics., 金沢大学医薬保健研究域保健学系},
 pages = {40--45},
 title = {Development of pulmonary blood flow evaluation method with a dynamic flat-panel detector: quantitative correlation analysis with findings on perfusion scan},
 volume = {3},
 year = {2010}
}