We propose to further develop and evaluate several new and exciting ultrasound imaging and tissue characterization algorithms for application to cancer detection and diagnosis. Present B-scan ultrasound methods provide a spatial resolution typically of about 1 to 3 mm at 3 Mhz for depths of 1 to 10 cm, which degrades further with depth. Characterization of tissue by absorption from B-scan data has a resolution dictated by theory of more than 1 cm. Ultrasound transmission tomography shows good quantitative accuracy and specificity for cancer detection, but poor spatial resolution of about 1 cm. Our new imaging algorithms overcome the limitations of the above methods and provide performance at or near theoretical limits. In particular, our synthetic focus algorithms provide spatial resolution approaching 1/2 to 1/4 mm, (i.e., one-half wavelength) with semiquantitative accuracy. Frequency extrapolation and finite difference algorithms provide high resolution and quantitative accuracy or transmission imaging for data with good signal-to-noise ratios. An additional breakthrough in algorithm implementation now permits fast computation of the inverse scattering solution of the exact (not linearized) Helmholtz wave equation for a visco-elastic fluid model of tissue with inhomogeneous density p, speed of sound c, and absorption a, properties. This solution, as computed, using the method of moments with sinc basis functions, is robust (noise tolerant and stable), has extremely high-spatial resolution and provides highly accurate quantitative images of the above defined tissue parameters p, c, a. A similar, but perhaps faster, converging solution to the Riccati wave equation has also been formulated. Since results to date are excellent, a prototype electronically addressed transducer array scanner will be built to obtain more accurate data faster and to help evaluate a designs for full-scale clinical breast and abdominal scanners.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
2R01CA029728-04
Application #
3168840
Study Section
Diagnostic Radiology Study Section (RNM)
Project Start
1982-03-01
Project End
1989-04-30
Budget Start
1985-09-01
Budget End
1986-04-30
Support Year
4
Fiscal Year
1985
Total Cost
Indirect Cost
Name
University of Utah
Department
Type
DUNS #
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Yuan, W Q; Johnson, S A; Berggren, M J et al. (1988) A concave annular array design, based on phasor summation--Part II: Beam profiles and resultant images by B-scan and synthetic focus methods. Ultrason Imaging 10:287-97
Yuan, W Q; Johnson, S A; Berggren, M J et al. (1988) A concave annular array design, based on phasor summation--Part I: Design methodology. Ultrason Imaging 10:275-86