• DocumentCode
    1789511
  • Title

    Detection of blood flow in left ventricle by echocardiography using speckle image velocimetry

  • Author

    Qi Zhang ; Moli Zhou ; Yun Dong ; Ming Qian ; Ming Chen

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    179
  • Lastpage
    183
  • Abstract
    In order to evaluate the heart function, it is valuable to detect and visualize the blood flow inside the left ventricle (LV) of the heart. In this paper, a method for flow detection in LV is proposed based on the echocardiography by using the speckle image velocimetry (SIV). It first segments the LV from the echocardiography and then conducts the SIV in the LV and estimates displacement vectors of red blood cell aggregates. Finally, it calculates the flow velocity and depicts the velocity vectors for visualization. The experiments were carried out on both simulated images and clinical video images. The results demonstrate the feasibility of the method, indicating that the method may be helpful for assessment of the fluid dynamics of LV function and dysfunction.
  • Keywords
    blood; cellular biophysics; echocardiography; flow visualisation; haemodynamics; image segmentation; image sequences; medical disorders; medical image processing; parameter estimation; speckle; vectors; velocity measurement; video recording; LV dysfunction assessment; LV flow detection; LV function assessment; LV segmentation; SIV; blood flow visualization; cell aggregate displacement vector estimation; clinical video image; echocardiography; flow velocity calculation; fluid dynamics assessment; heart function evaluation; left ventricle blood flow detection; red blood cell aggregate; simulated image; speckle image velocimetry; velocity vector; Blood flow; Echocardiography; Gold; Heart; Standards; Vectors; Visualization; Speckle image velocimetry; blood flow; echocardiography; left ventricle; particle image velocimetry; velocity vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5837-5
  • Type

    conf

  • DOI
    10.1109/BMEI.2014.7002766
  • Filename
    7002766