• DocumentCode
    2473433
  • Title

    9C-5 2D Simulation of the Harmonic Motion Imaging (HMI) with Experimental Validation

  • Author

    Maleke, Caroline ; Luo, Jianwen ; Konofagou, Elisa E.

  • Author_Institution
    Columbia Univ., New York
  • fYear
    2007
  • fDate
    28-31 Oct. 2007
  • Firstpage
    797
  • Lastpage
    800
  • Abstract
    Amplitude-modulated (AM) harmonic motion imaging (HMI) is one of the radiation-force-based techniques, which has the capability of imaging tissue mechanical properties during the application of the acoustic radiation force. Since only displacement images have been presented until now, the theory between tissue displacement and modulus in AM-HMI has not been validated. Here, a finite-element model (FEM) is used to accurately model the dynamic response in tissue mimicking phantoms to evaluate HMI performance. The FEM and experimental results of phantoms with the same stiffness variations are compared and used to describe the behavior of tissue during the application of the stimulus. A harmonic force was generated by a 4.68 MHz single-element focused ultrasound (FUS) transducer. Since the focus is highly localized and has a harmonic response from AM beam, the motion characteristics can be directly related to the regional tissue modulus. The resulting motion was imaged simultaneously using a diagnostic (pulse-echo) transducer at center frequency of 7.5 MHz. RF signals were acquired using a standard pulse-echo technique with a PRF of 5.4 kHz. ID cross-correlation technique was performed to estimate the resulting axial displacement. In the FEM simulation, a rectangular mesh with dimensions of 35 mm in the axial and 30 mm in the lateral directions was generated. There were a total of 2771 nodes and 5424 triangular elements in the mesh. For simplicity, the mesh was assumed to be a purely elastic medium with Young´s modulus of 10 kPa. The acoustic pressure field was simulated in Field II using the same transducer parameters as in the experiment. This pressure field was used as the excitation force to generate displacements. The imaging field was simulated in Matlab 7.2 using a 2D convolutional image formation model with 128 acoustic elements, a center frequency of 7.5 MHz and 40 MHz sampling frequency. Only the displacement estimation at the center RF lines was considered i- n the validation with the single-element pulse-echo transducer used in the experiments. A good agreement between the results from the FEM and experiment findings was observed in phantom study. Finally, in vivo application is presented.
  • Keywords
    Young´s modulus; biological organs; biomechanics; biomedical transducers; biomedical ultrasonics; cancer; finite element analysis; harmonic analysis; image motion analysis; mammography; mathematics computing; medical image processing; phantoms; tumours; ultrasonic transducers; 2D convolutional image formation; Matlab 7.2; Young´s modulus; acoustic pressure field; acoustic radiation force; amplitude-modulated harmonic motion imaging; breast cancer; cross-correlation technique; diagnostic pulse-echo transducer; dynamic response; finite-element model; frequency 4.68 MHz; frequency 5.4 kHz; frequency 7.5 MHz; harmonic response; single-element focused ultrasound transducer; size 30 mm; size 35 mm; stiffness; tissue displacement; tissue mechanical property; tissue mimicking phantom; tissue modulus; Acoustic applications; Acoustic imaging; Acoustic transducers; Finite element methods; Focusing; Frequency; Imaging phantoms; Mathematical model; Mechanical factors; Ultrasonic transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2007. IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1051-0117
  • Print_ISBN
    978-1-4244-1384-3
  • Electronic_ISBN
    1051-0117
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2007.204
  • Filename
    4409777