Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms

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• 作者：Christian Prinz (1) (4)
  Reka Faludi (1) (5)
  Andrew Walker (2)
  Mihaela Amzulescu (1)
  Hang Gao (1)
  Tokuhisa Uejima (3)
  Alan G Fraser (3)
  Jens-Uwe Voigt (1)
  
• 关键词：PIV ; Blood flow patterns ; Echocardiography ; Phantoms
• 刊名：Cardiovascular Ultrasound
• 出版年：2012
• 出版时间：December 2012
• 年：2012
• 卷：10
• 期：1
• 全文大小：862KB
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• 作者单位：Christian Prinz (1) (4)
  Reka Faludi (1) (5)
  Andrew Walker (2)
  Mihaela Amzulescu (1)
  Hang Gao (1)
  Tokuhisa Uejima (3)
  Alan G Fraser (3)
  Jens-Uwe Voigt (1)
  
  1. Dept. of Cardiovascular Diseases, University Hospital Gasthuisberg, Catholic University Leuven, Herestraat 49, 3000, Leuven, Belgium
  4. Department of Cardiology, Heart- and Diabetes Center NRW, Ruhr-University, Bochum, Bad Oeynhausen, Germany
  5. The Heart Institute, Faculty of Medicine, University of Pécs, Pécs, Hungary
  2. Dept. of Biomedical Engeneering, Central Hospital, V?ster?s, Sweden
  3. Wales Heart Research Institute, School of Medicine, Cardiff University, Cardiff, United Kingdom
  

文摘

Aims To validate Echo Particle Image Velocimetry (PIV) Methods High fidelity string and rotating phantoms moving with different speed patterns were imaged with different high-end ultrasound systems at varying insonation angles and frame rates. Images were analyzed for velocity and direction and for complex motion patterns of blood flow with dedicated software. Post-processing was done with MATLAB-based tools (Dflow, JUV, University Leuven). Results Velocity estimation was accurate up to a velocity of 42?cm/s (r--.99, p-lt;-.001, mean difference 0.4?±-?cm/s). Maximally detectable velocity, however, was strongly dependent on frame rate and insonation angle and reached 42?cm/s under optimal conditions. At higher velocities estimates became random. Direction estimates did depend less on velocity and were accurate in 80-90%. In-plane motion patterns were correctly identified with three ultrasound systems. Conclusion Echo-PIV appears feasible. Velocity estimates are accurate, but the maximal detectable velocity depends strongly on acquisition parameters. Direction estimation works sufficiently, even at higher velocities. Echo-PIV appears to be a promising technical approach to investigate flow patterns by echocardiography.