Constrained total variation minimization for photoacoustic tomography

Similar to computed tomography, the images from photoacoustic tomography are piecewise smooth and reconstructions can be enhanced by applying Total Variation (TV) minimization. Also, the photoacoustic image must satisfy both the data fidelity and a non negativity constraint. This paper proposes a co...

Full description

Saved in:
Bibliographic Details
Published in2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 561 - 564
Main Authors Salehin, S. M. A., Abhayapala, T. D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Fourier Bessel series
Frequency measurement
Image reconstruction
Minimization methods
Projected subgradient
Thermoacoustic
Tomography
Vectors
Online AccessGet full text

Cover

More Information
Summary:Similar to computed tomography, the images from photoacoustic tomography are piecewise smooth and reconstructions can be enhanced by applying Total Variation (TV) minimization. Also, the photoacoustic image must satisfy both the data fidelity and a non negativity constraint. This paper proposes a constrained TV minimization formulation in the Fourier Bessel domain which has the advantage of reducing the dimension of the fidelity constraint and the projection onto this constraint can be performed by a simple projection onto the l 2 ball. The TV minimization post processing improves the quality of images reconstructed and recovers the lost, low frequency information when sensor lower frequency limit is higher than zero.
ISBN:1467300454
9781467300452
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6287941