DocumentCode :
620942
Title :
Nonlinear reconstruction of compressibility and density variations using the Kaczmarz method
Author :
Salehi, Leili ; Schmitz, Guido
Author_Institution :
Fac. of Electr. Eng. & Inf. Technol., Ruhr-Univ. Bochum, Bochum, Germany
fYear :
2012
fDate :
7-10 Oct. 2012
Firstpage :
386
Lastpage :
389
Abstract :
Nonlinear ultrasound diffraction tomography reconstructs material parameters of a medium from transmitted and scattered sound waves taking into account multiple scattering, which is important in the presence of strongly scattering media like in breast tissue or the abdominal wall. Most nonlinear approaches propose algorithms to reconstruct the spatially varying speed of sound (SoS), which is equivalent to a spatially varying compressibility under the assumption of constant mass density. Here, we present an extension of a nonlinear reconstruction algorithm based on the Kaczmarz method to reconstruct both, density and compressibility simultaneously. We investigate errors arising from neglecting realistic density changes and demonstrate the improvements that can be introduced in the estimation of speed of sound by applying the proposed method.
Keywords :
acoustic tomography; biological organs; biological tissues; biomedical ultrasonics; compressibility; image reconstruction; medical image processing; ultrasonic scattering; ultrasonic transmission; ultrasonic velocity; Kaczmarz method; abdominal wall; breast tissue; compressibility; constant mass density; material parameters; nonlinear reconstruction algorithm; nonlinear ultrasound diffraction tomography reconstruction; scattered sound waves; speed of sound; transmitted sound waves; Acoustics; Convergence; Image reconstruction; Inverse problems; Nonhomogeneous media; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium (IUS), 2012 IEEE International
Conference_Location :
Dresden
ISSN :
1948-5719
Print_ISBN :
978-1-4673-4561-3
Type :
conf
DOI :
10.1109/ULTSYM.2012.0095
Filename :
6562439
Link To Document :
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