Abstract:
:As limited data photoacoustic tomographic image reconstruction problem is known to be ill-posed, the iterative reconstruction methods were proven to be effective in terms of providing good quality initial pressure distribution. Often, these iterative methods require a large number of iterations to converge to a solution, in turn making the image reconstruction procedure computationally inefficient. In this work, two variants of vector polynomial extrapolation techniques were deployed to accelerate two standard iterative photoacoustic image reconstruction algorithms, including regularized steepest descent and total variation regularization methods. It is shown using numerical and experimental phantom cases that these extrapolation methods that are proposed in this work can provide significant acceleration (as high as 4.7 times) along with added advantage of improving reconstructed image quality.
journal_name
J Biomed Optjournal_title
Journal of biomedical opticsauthors
Awasthi N,Kalva SK,Pramanik M,Yalavarthy PKdoi
10.1117/1.JBO.23.7.071204subject
Has Abstractpub_date
2018-02-01 00:00:00pages
1-11issue
7eissn
1083-3668issn
1560-2281pii
JBO-170631SSRRjournal_volume
23pub_type
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