ADAPTIVE ULTRASONIC IMAGING USING A 2-D ARRAY

Information

  • Research Project
  • 6522263
  • ApplicationId
    6522263
  • Core Project Number
    R29EB000349
  • Full Project Number
    8R29EB000349-05
  • Serial Number
    349
  • FOA Number
  • Sub Project Id
  • Project Start Date
    9/30/1998 - 25 years ago
  • Project End Date
    9/29/2003 - 20 years ago
  • Program Officer Name
    HALLER, JOHN W.
  • Budget Start Date
    9/30/2002 - 21 years ago
  • Budget End Date
    9/29/2003 - 20 years ago
  • Fiscal Year
    2002
  • Support Year
    5
  • Suffix
  • Award Notice Date
    9/2/2002 - 21 years ago

ADAPTIVE ULTRASONIC IMAGING USING A 2-D ARRAY

The long-term objective of this research is to achieve in medical ultrasonic imaging diffraction-limited focus characteristics and corresponding high image quality through inhomogeneous tissue (such as abdominal wall, chest wall, and the female breast). The specific aims are to evaluate adaptive imaging algorithms that have been proposed and to develop new algorithms by constructing models of the wavefront distortion. The method is to estimate and compensate for propagation inhomogeneities that lie between the array and the region of interest. The investigation will employ a synergistic combination of simulations and experiments. The simulations will accurately model the array, propagation inhomogeneities, and the scattering process. An adaptation of the k-space method will be used for computation of wavepropagation through an inhomogeneous medium. The experiments will use an 8Ox8O- element 3.0-MHz two-dimensional array with programmable transmit waveforms. This apparatus enables the implementation of adaptive imaging algorithms that perform not only time-shift compensation but also waveform shape compensation on transmit. The transmit beam size effect on time-delay estimation and the isoplanatic patch size of the compensation algorithms will be quantified. Phantoms that mimic the distortion effects of human tissue will be constructed. Implementation of the algorithms with a sparse 2-D array and with a 1-D array will also be studied. The algorithms will be evaluated in terms of point and contrast resolution, computational complexity, isoplanatic patch size, and number of transmit iterations required for the convergence of distortion estimation. New algorithms for adaptive ultrasonic imaging will be developed based on wavefront propagation and processing. The simulations and experiments will complement and strengthen each other in the investigation of various imaging conditions and in providing physical verification of the effectiveness of adaptive imaging. Through this research, ultrasonic imaging in the presence of propagation inhomogeneities will be achieved with the highest possible resolution and the utility of ultrasound in the early and accurate diagnosis of diseases such as the breast cancer will be greatly expanded.

IC Name
NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING
  • Activity
    R29
  • Administering IC
    EB
  • Application Type
    8
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    75037
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    286
  • Ed Inst. Type
  • Funding ICs
    NIBIB:75037\
  • Funding Mechanism
  • Study Section
    ZRG7
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    SIEMENS MEDICAL SYSTEMS
  • Organization Department
  • Organization DUNS
  • Organization City
    ISSAQUAH
  • Organization State
    WA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    98029
  • Organization District
    UNITED STATES