Cardiac Motion Estimation Using Ultrafast Ultrasound Imaging Tested in a Finite Element Model of Cardiac Mechanics

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• 关键词：Ultrafast ultrasound imaging ; Cardiac deformation imaging ; Cardiac modeling
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9126
• 期：1
• 页码：207-214
• 全文大小：1,788 KB
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• 作者单位：Maartje M. Nillesen (16)
  Anne E. C. M. Saris (16)
  Hendrik H. G. Hansen (16)
  Stein Fekkes (16)
  Frebus J. van Slochteren (17)
  Peter H. M. Bovendeerd (18)
  Chris L. De Korte (16)
  
  16. Medical UltraSound Imaging Center, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
  17. University Medical Center Utrecht, Utrecht, The Netherlands
  18. Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
  
• 丛书名：Functional Imaging and Modeling of the Heart
• ISBN：978-3-319-20309-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Recent developments in ultrafast ultrasound imaging allow accurate assessment of 3D cardiac deformation in cardiac phases with high deformation rates. This paper investigates the performance of a multiple spherical wave (SW) ultrasound transmission scheme in combination with a motion estimation algorithm for cardiac deformation assessment at high frame rates. Ultrasound element data of a realistically deforming 3D cardiac finite element model were simulated for a phased array transducer, transmitting five SWs (PRF 2500?Hz). After delay-and-sum beamforming, coherent compounding of multiple SW transmissions was performed to generate radiofrequency data (frame rate 500?Hz). Axial and lateral displacements were determined using a normalized cross-correlation-based technique. Good agreement was obtained between estimated and ground truth displacements derived from the model over the cardiac cycle. This study indicates that high frame rate displacement estimation using multiple SWs is feasible and serves as an important step towards high frame rate 3D cardiac deformation imaging.