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Appl. Sci. 2017, 7(5), 505; doi:10.3390/app7050505

An Efficient Compensation Method for Limited-View Photoacoustic Imaging Reconstruction Based on Gerchberg–Papoulis Extrapolation

1
and
1,2,*
1
Department of Electronic Engineering, Fudan University, No. 220 Handan Road, Shanghai 200433, China
2
Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Fudan University, Shanghai 200433, China
*
Author to whom correspondence should be addressed.
Academic Editor: Yuanjin Zheng
Received: 29 March 2017 / Revised: 8 May 2017 / Accepted: 9 May 2017 / Published: 17 May 2017
(This article belongs to the Special Issue Biomedical Photoacoustic and Thermoacoustic Imaging)
View Full-Text   |   Download PDF [13544 KB, uploaded 17 May 2017]   |  

Abstract

The reconstruction for limited-view scanning, though often the case in practice, has remained a difficult issue for photoacoustic imaging (PAI). The incompleteness of sampling data will cause serious artifacts and fuzziness in those missing views and it will heavily affect the quality of the image. To solve the problem of limited-view PAI, a compensation method based on the Gerchberg–Papoulis (GP) extrapolation is applied into PAI. Based on the known data, missing detectors elements are estimated and the image in the missing views is then compensated using the Fast Fourier Transform (FFT). To accelerate the convergence speed of the algorithm, the total variation (TV)-based iterative algorithm is incorporated into the GP extrapolation-based FFT-utilized compensation method (TV-GPEF). The effective variable splitting and Barzilai–Borwein based method is adopted to solve the optimization problem. Simulations and in vitro experiments for both limited-angle circular scanning and straight-line scanning are conducted to validate the proposed algorithm. Results show that the proposed algorithm can greatly suppress the artifacts caused by the missing views and enhance the edges and the details of the image. It can be indicated that the proposed TV-GPEF algorithm is efficient for limited-view PAI. View Full-Text
Keywords: photoacoustic imaging; limited-view reconstruction; Gerchberg–Papoulis extrapolation; total variation photoacoustic imaging; limited-view reconstruction; Gerchberg–Papoulis extrapolation; total variation
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Wang, J.; Wang, Y. An Efficient Compensation Method for Limited-View Photoacoustic Imaging Reconstruction Based on Gerchberg–Papoulis Extrapolation. Appl. Sci. 2017, 7, 505.

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