Synthetic Aperture Imaging


      Medical Imaging Computing Systems Lab
        Department of Electronic Engineering
Interdisciplinary Program of Integrated Biotechnology
               Medical Solutions Institute

          Sogang University, Seoul, Korea


                                    Medical Imaging Computing System1 Lab
                                                                    s
Contents
 Introduction
 Method
  – Synthetic aperture imaging techniques
  – Evaluation metrics
 Result and discussion
  – Phantom study
  – In vivo study
 Conclusion
 Further works



                                            Medical Imaging Computing Systems Lab
Introduction


 Transmit beam




 Receive beam




 Tx/Rx beam



                 One way dynamic focusing                    Two way dynamic focusing
                 Fixed Tx focusing / Dynamic Rx focusing          Dynamic Tx and Rx focusing




                                                 Synthetic aperture imaging

                                                                  Medical Imaging Computing Systems Lab
Introduction
                    Conventional imaging              SA imaging



Transmit focusing




Receive focusing                                            Low resolution
                                                               images




                              ∑                            ∑




 Reconstructed
     image


                     Low resolution image        High resolution image

                                            Medical Imaging Computing Systems Lab
Method : Synthetic Aperture Imaging Technique




      Single element transmit                   Defocusing                         BiPBF


                                                                          SA with a virtual
                Single element transmit         Defocusing
                                                                           source (BiPBF)
                                           No decrease of acoustic       No decrease of acoustic
 Advantage                      -
                                                   power                         power
                                                                          Number of synthesize
                    Low signal to noise   Need for adjusting transmit
Disadvantage           ratio(SNR)               beamforming
                                                                        beams need to be adjusted
                                                                           depending on depth



                                                              Medical Imaging Computing Systems Lab
Method : SA with a Virtual Source
  Synthetic aperture imaging technique with a virtual source element
   – Regard transmit focal point as a virtual source
   – Spherical waves are propagated back and forth from the virtual source


   – Tx delay :                                 – Rx delay :




       Transmit wave-fronts model with                 Principle of transmit synthetic
      two virtual source located at each                           focusing
              transmit focal point                         with the virtual source
                                                              Medical Imaging Computing Systems Lab
Method : Evaluation Metrics




                              Medical Imaging Computing Systems Lab
Result and Discussion : Phantom Study
 B-mode phantom images




                           Multi-zone transmit focusing
   Conventional                                                      SA (M=64)
                                     (MZTF)

                  Multi-Purpose Multi-Tissue Ultrasound Phantom
                  (Model 040GSE) © CIRS
                                                      Medical Imaging Computing Systems Lab
Result and Discussion : Phantom Study
  6-dB lateral resolutions
   – 6-dB lateral resolutions at each wire target




   – Conventional and MZTF methods
        • Best lateral resolution at the each transmit focal depth
        • Broadened as imaging distance from the focal depth was increased

   – SA method
        • Uniform lateral resolution


                                                                     Medical Imaging Computing Systems Lab
Result and Discussion : Phantom Study
  SNR
  – SNR along the depth obtained from three methods




  – Conventional and MZTF methods
        • The high SNR was achieved only at the focal depth

  – SA method
        • Mean SNR value was improved

                                                              Medical Imaging Computing Systems Lab
Result and Discussion : Phantom Study
  CNR, SNR
                  Conventional            MZTF                   SA

     CNR              3.1                  3.4                   3.4

    SNRmean         15.3 dB              16.7 dB               23.6 dB




  – Higher CNR value in SA method than
    conventional method
      • Reduced speckle size in the SA method due to the
        enhanced lateral resolution → higher CNR              ROI of CNR


  – CNR value was the same in SA method and
    MZTF method
      • ROI for CNR measurement was located at one of
        transmit focal depth



                                                      Medical Imaging Computing Systems Lab
Result and Discussion : Phantom Study
  Penetration depth




                                   Filtered intensities of echo and noise signal used for
                                              measuring the penetration depth




                         Visible




          ROI of
     penetration depth                      The penetration depth along
                                     the number of sub-aperture (M) of SA method
                                            Medical Imaging Computing Systems Lab
Result and Discussion : In-vivo study
  In-vivo data acquisition set-up
   – Patients were scanned in supine position by an experienced radiologist
   – The patients with benign and malignant tumors
   – Two sets of RF data from each patient were acquired sequentially for the
     conventional and SA imaging
   – Focus point
       • Conventional : adaptive
       • SA imaging : 40 mm



  Common improvement
   – Conspicuity and margin sharpness of the lesion is improved
   – Higher contrast resolution
   – Increase of resolution in deep portion

                                                    Medical Imaging Computing Systems Lab
Result and Discussion : In-vivo study
  B-mode in-vivo images
  – Malignant infiltration ductal carcinoma




      • Edge shadowing artifacts has been dramatically reduced in the SA image (white arrows)
      • Resolution in deeper portion has decreased (white dotted box)


                                                              Medical Imaging Computing Systems Lab
Conclusion
 Assessed conventional and SA image
  – Quantitative evaluation
      • SA images provided higher CNR and SNR values
      • SA images provided uniform improvement in image resolution at all
        points (two-way dynamic focusing)
      • SA images provided better penetration depth
  – Qualitative evaluation
      • SA images provided higher lesion conspicuity and global preference
  – Consistent result with both in-vivo and in-vitro data




                                                  Medical Imaging Computing Systems Lab

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MICS - Synthetic Aperture Imaging

  • 1. Synthetic Aperture Imaging Medical Imaging Computing Systems Lab Department of Electronic Engineering Interdisciplinary Program of Integrated Biotechnology Medical Solutions Institute Sogang University, Seoul, Korea Medical Imaging Computing System1 Lab s
  • 2. Contents Introduction Method – Synthetic aperture imaging techniques – Evaluation metrics Result and discussion – Phantom study – In vivo study Conclusion Further works Medical Imaging Computing Systems Lab
  • 3. Introduction Transmit beam Receive beam Tx/Rx beam One way dynamic focusing Two way dynamic focusing Fixed Tx focusing / Dynamic Rx focusing Dynamic Tx and Rx focusing Synthetic aperture imaging Medical Imaging Computing Systems Lab
  • 4. Introduction Conventional imaging SA imaging Transmit focusing Receive focusing Low resolution images ∑ ∑ Reconstructed image Low resolution image High resolution image Medical Imaging Computing Systems Lab
  • 5. Method : Synthetic Aperture Imaging Technique Single element transmit Defocusing BiPBF SA with a virtual Single element transmit Defocusing source (BiPBF) No decrease of acoustic No decrease of acoustic Advantage - power power Number of synthesize Low signal to noise Need for adjusting transmit Disadvantage ratio(SNR) beamforming beams need to be adjusted depending on depth Medical Imaging Computing Systems Lab
  • 6. Method : SA with a Virtual Source Synthetic aperture imaging technique with a virtual source element – Regard transmit focal point as a virtual source – Spherical waves are propagated back and forth from the virtual source – Tx delay : – Rx delay : Transmit wave-fronts model with Principle of transmit synthetic two virtual source located at each focusing transmit focal point with the virtual source Medical Imaging Computing Systems Lab
  • 7. Method : Evaluation Metrics Medical Imaging Computing Systems Lab
  • 8. Result and Discussion : Phantom Study B-mode phantom images Multi-zone transmit focusing Conventional SA (M=64) (MZTF) Multi-Purpose Multi-Tissue Ultrasound Phantom (Model 040GSE) © CIRS Medical Imaging Computing Systems Lab
  • 9. Result and Discussion : Phantom Study 6-dB lateral resolutions – 6-dB lateral resolutions at each wire target – Conventional and MZTF methods • Best lateral resolution at the each transmit focal depth • Broadened as imaging distance from the focal depth was increased – SA method • Uniform lateral resolution Medical Imaging Computing Systems Lab
  • 10. Result and Discussion : Phantom Study SNR – SNR along the depth obtained from three methods – Conventional and MZTF methods • The high SNR was achieved only at the focal depth – SA method • Mean SNR value was improved Medical Imaging Computing Systems Lab
  • 11. Result and Discussion : Phantom Study CNR, SNR Conventional MZTF SA CNR 3.1 3.4 3.4 SNRmean 15.3 dB 16.7 dB 23.6 dB – Higher CNR value in SA method than conventional method • Reduced speckle size in the SA method due to the enhanced lateral resolution → higher CNR ROI of CNR – CNR value was the same in SA method and MZTF method • ROI for CNR measurement was located at one of transmit focal depth Medical Imaging Computing Systems Lab
  • 12. Result and Discussion : Phantom Study Penetration depth Filtered intensities of echo and noise signal used for measuring the penetration depth Visible ROI of penetration depth The penetration depth along the number of sub-aperture (M) of SA method Medical Imaging Computing Systems Lab
  • 13. Result and Discussion : In-vivo study In-vivo data acquisition set-up – Patients were scanned in supine position by an experienced radiologist – The patients with benign and malignant tumors – Two sets of RF data from each patient were acquired sequentially for the conventional and SA imaging – Focus point • Conventional : adaptive • SA imaging : 40 mm Common improvement – Conspicuity and margin sharpness of the lesion is improved – Higher contrast resolution – Increase of resolution in deep portion Medical Imaging Computing Systems Lab
  • 14. Result and Discussion : In-vivo study B-mode in-vivo images – Malignant infiltration ductal carcinoma • Edge shadowing artifacts has been dramatically reduced in the SA image (white arrows) • Resolution in deeper portion has decreased (white dotted box) Medical Imaging Computing Systems Lab
  • 15. Conclusion Assessed conventional and SA image – Quantitative evaluation • SA images provided higher CNR and SNR values • SA images provided uniform improvement in image resolution at all points (two-way dynamic focusing) • SA images provided better penetration depth – Qualitative evaluation • SA images provided higher lesion conspicuity and global preference – Consistent result with both in-vivo and in-vitro data Medical Imaging Computing Systems Lab