Left Ventricular Vortices in Myocardial Infarction Observed with Echodynamography

Sri Oktamuliani, Kaoru Hasegawa, Yoshifumi Saijo

研究成果: Conference contribution

抄録

Echodynamography (EDG) is a computational method to deduce two-dimensional (2D) blood flow vector from conventional color Doppler ultrasound image by considering that the blood flow is divided into vortex and base flow components. Left ventricular (LV) vortices indicate cardiac flow status influenced by LV wall motion. Thus, quantitative assessment of LV vortices may become new and sensitive parameters for cardiac function. In the present study, quantitative parameters of LV vortices such as vortex index, vortex size, and Reynolds number were calculated and relation between each parameter was assessed. Six healthy volunteers and three patients with myocardial infarction (MI) who underwent color Doppler echocardiography (CDE) were involved in the study. Serial CDE images in apical three-chamber view were recorded and 2D blood flow vector was superimposed on the CDE image. Vortex index, vortex size, and Reynolds number were compared between the normal volunteers and the MI patients. The results showed that vortex index (3.09±2.06 vs. 3.34±2.33, p<0.05), vortex size (1.76 0.69 vs. 2.01 ±0.68, p<0.05), Reynolds number (1020±603 vs.±1312 1046, p<±0.05) were significantly greater in the MI patients than in the healthy volunteers. Vortex equivalent diameter in LV showed significant positive correlation with Reynolds number (R2 = 0.799, y = 0.001x + 0.7098, p < 0.05) in healthy volunteers and (R2 = 0.6404, y = 0.0005x+1.3185, p<0.05) in MI patients. Vortex index showed positive correlation with Reynolds number (R2 = 0.9351, y = 0.002x+0.1397, p<0.05) in healthy volunteers and (R2 = 0.758, y = 0.0019x+0.7957, p<0.05) in MI patients. In conclusion, EDG provides information on LV hemodynamics by quantitative LV vortices parameters both in healthy volunteers and MI patients.

本文言語English
ホスト出版物のタイトル2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ5816-5819
ページ数4
ISBN(電子版)9781538613115
DOI
出版ステータスPublished - 2019 7
イベント41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany
継続期間: 2019 7 232019 7 27

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

Conference

Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
国/地域Germany
CityBerlin
Period19/7/2319/7/27

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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