画像処理を利用したBモード超音波検査法による誤嚥の検出方法の開発

  • 三浦 由佳
    東京大学大学院医学系研究科健康科学・看護学専攻老年看護学/創傷看護学分野 日本学術振興会特別研究員DC1
  • 仲上 豪二朗
    東京大学大学院医学系研究科健康科学・看護学専攻老年看護学/創傷看護学分野
  • 藪中 幸一
    東京大学大学院医学系研究科健康科学・看護学専攻老年看護学/創傷看護学分野 医療法人大植会葛城病院超音波室
  • 戸原 玄
    東京医科歯科大学大学院医歯学総合研究科老化制御学系専攻口腔老化制御学講座高齢者歯科学分野
  • 村山 陵子
    東京大学大学院医学系研究科社会連携講座アドバンストナーシングテクノロジー
  • 野口 博史
    東京大学大学院医学系研究科ライフサポート技術開発学(モルテン)寄附講座
  • 森 武俊
    東京大学大学院医学系研究科ライフサポート技術開発学(モルテン)寄附講座
  • 真田 弘美
    東京大学大学院医学系研究科健康科学・看護学専攻老年看護学/創傷看護学分野

書誌事項

タイトル別名
  • Method for detecting aspiration based on image processing-assisted B-mode video ultrasonography

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抄録

  We developed a computer-aided image processing technique to assist in the detection of aspirated boluses by clinicians using B-mode video ultrasonography(BV-US)movies. This study used 42 ultrasonography movies from a previous study that investigated the performance of aspirated bolus detection. This image processing technique aimed to assist clinicians in detecting aspirated boluses and the anterior tracheal walls from BV-US movies in which aspirated bolus appearances were emphasized. We combined a method that focused on the region of interest and the correlation coefficient between current and previous images to emphasize the characteristics of aspirated boluses from brightness-adjusted BV-US images. The sensitivity and specificity of this image processing-assisted method were 0.91 and 0.94, respectively, when we used simultaneously collected videofluoroscopy or videoendoscopy results as references. For four silent aspiration movies for which detection did not occur without assistance of image processing, detection was achieved with image processing assistance. Aspirated boluses detected only with image processing assistance had significantly smaller areas, shorter minor axes, longer major axes, and higher average brightness levels than those detected without image processing. This method will contribute to help clinicians provide modification of food viscosity and posture at an early stage for patients with dysphagia.

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