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  • 标题:Pulmonary Blood Flow Analysis Based on Multiple Input Models and MR contrast calibration method.
  • 本地全文:下载
  • 作者:Tomoki Saka ; Toshiyuki Gotoh ; Seiichiro Kagei
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:27
  • 页码:247-252
  • DOI:10.1016/j.ifacol.2018.11.634
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn the past, since the reperfusion part is less than 10% of the total vascular system composed of multiple inputs, such as lungs, the γ-variate function was used as a method of eliminating the reperfusion component. In this research, an analytical method that separates and evaluates all blood flow systems by modeling the impulse response of the blood flow system with multiple inputs was proposed. In addition, a calibration method to adjust the input/output waveform areas was also proposed. The proposed method was verified in a patient with lung cancer. The lung total blood volume using the contrast MR image and the global lung blood volume estimated from the pulmonary artery and the signal strength of the left atrium were also compared. Moreover, the lung field reperfusion percentage was compared with the cardiac output detected by Fast GE Cine.
  • 关键词:KeywordsReperfusionMultiple ModelsGlobal AnalysisLocal AnalysisGd Contrast Agent
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