Compensation of Linearization Approximation Error in Acoustic Inverse Scattering Problem. Quantitative Reconstruction of Attenuation and Sound Speed Images.

DOI Web Site Web Site Web Site 3 Citations 12 References
  • Yamada Akira
    Graduate School of Bio–Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184, Japan

Bibliographic Information

Other Title
  • Compensation of Linearization Approximation Error in Acoustic Inverse Scattering Problem:Quantiative Reconstruction of Attenuation and Sound Speed Images

Search this article

Description

For the realization of the acoustic parameter quantitative reconstruction of biological tissues by ultrasonic diffraction tomography, the author recently developed the backward propagation Rytov approximation to overcome the limitation of the weak scattering condition of tissuelike objects. A sound speed image with sufficient quantitative precision was realized. The problem, however, was that the precision of the attenuation image was limited when the sound speed contrast of the object was large. In this paper, a method for compensating the weak scattering approximation error is presented so that a compatible reconstruction of both sound speed and attenuation images can be realized. From numerical verification, the precision of the attenuation image after compensation is verified to be more superior than that before compensation.

Journal

Citations (3)*help

See more

References(12)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top