Paper
17 July 2007 Photoacoustic image reconstruction: a quantitative analysis
Jonathan I. Sperl, Karin Zell, Peter Menzenbach, Christoph Haisch, Stephan Ketzer, Markus Marquart, Hartmut Koenig, Mika W. Vogel
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Abstract
Photoacoustic imaging is a promising new way to generate unprecedented contrast in ultrasound diagnostic imaging. It differs from other medical imaging approaches, in that it provides spatially resolved information about optical absorption of targeted tissue structures. Because the data acquisition process deviates from standard clinical ultrasound, choice of the proper image reconstruction method is crucial for successful application of the technique. In the literature, multiple approaches have been advocated, and the purpose of this paper is to compare four reconstruction techniques. Thereby, we focused on resolution limits, stability, reconstruction speed, and SNR. We generated experimental and simulated data and reconstructed images of the pressure distribution using four different methods: delay-and-sum (DnS), circular backprojection (CBP), generalized 2D Hough transform (HTA), and Fourier transform (FTA). All methods were able to depict the point sources properly. DnS and CBP produce blurred images containing typical superposition artifacts. The HTA provides excellent SNR and allows a good point source separation. The FTA is the fastest and shows the best FWHM. In our study, we found the FTA to show the best overall performance. It allows a very fast and theoretically exact reconstruction. Only a hardware-implemented DnS might be faster and enable real-time imaging. A commercial system may also perform several methods to fully utilize the new contrast mechanism and guarantee optimal resolution and fidelity.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan I. Sperl, Karin Zell, Peter Menzenbach, Christoph Haisch, Stephan Ketzer, Markus Marquart, Hartmut Koenig, and Mika W. Vogel "Photoacoustic image reconstruction: a quantitative analysis", Proc. SPIE 6631, Novel Optical Instrumentation for Biomedical Applications III, 663103 (17 July 2007); https://doi.org/10.1117/12.727839
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Cited by 9 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Signal to noise ratio

Superposition

Fourier transforms

Image restoration

Data acquisition

Hough transforms

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