Simulation of Two-Dimensional Ultrasonic Imaging of Biological Tissues in the Presence of Phase Aberrations |
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| Institution: | 1. Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut;2. Chair, ACR Board of Chancellors, American College of Radiology, Reston, Virginia;3. Chief of Radiology Services, Emory Johns Creek Hospital, Johns Creek, Georgia;4. Vice Chair for Health Policy and Practice, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia;5. South Texas Radiology Group, San Antonio, Texas;6. Department of Radiology, UT Health – San Antonio, San Antonio, Texas;7. Departments of Radiology and Population Science, Weill Cornell Medicine, New York, New York;8. Professor of Radiology, Mayo Clinic, Rochester, Minnesota;9. Co-Chair, Data Committee, Radiology Business Management Association, Fairfax, Virginia;10. Executive Director, Vantage Radiology, Renton, Washington;11. Co-Chair, Data Committee, Radiology Business Management Association, Fairfax, Virginia;12. Radiology Business Management Association, Fairfax, Virginia;13. Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York;14. Feinstein Institutes for Medical Research, Manhasset, New York;15. Executive Director, Harvey L. Neiman Health Policy Institute, Reston, Virginia;p. Professor School of Economics, Director, Health Economics and Analytics Lab (HEAL), Georgia Institute of Technology, Atlanta, Georgia;q. Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia |
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| Abstract: | A simulator of phase aberrations for mathematical modeling of two-dimensional (2-D) ultrasonic medical imaging is developed. Principal characteristics of expected phase aberrations were put into the model to investigate the distorting influence of intervening tissues on the quality of conventional medical B-scan images. Information necessary for numerical simulations, including the form of the phase correlation function, correlation length and distortion magnitude, was obtained from analysis of known experimental data on abdominal and breast imaging in vivo. Examples of simulated acoustical images of some simple phantoms are presented. Improvement of image quality due to one simple phase adaptation algorithm is also presented. |
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