Research Papers

Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction

[+] Author Affiliations
Pinhas Ephrat

Lawson Health Research Institute, Imaging Program, London, Ontario N6A 4V2, Canada and University of Western Ontario, Department of Medical Biophysics, London, Ontario N6A 5C1, Canada

Lynn Keenliside, Adam Seabrook

Lawson Health Research Institute, Imaging Program, London, Ontario N6A 4V2, Canada

Frank S. Prato

Lawson Health Research Institute, Imaging Program, London, Ontario N6A 4V2, Canada and University of Western Ontario, Department of Medical Biophysics, London, Ontario N6A 5C1, Canada and St. Joseph Health Care, Department of Medical Imaging, London, Ontario N6A 4V2, Canada

Jeffrey J. L. Carson

Lawson Health Research Institute, Imaging Program, London, Ontario N6A 4V2, Canada and University of Western Ontario, Department of Medical Biophysics, London, Ontario N6A 5C1, Canada

J. Biomed. Opt. 13(5), 054052 (October 06, 2008). doi:10.1117/1.2992131
History: Received December 20, 2007; Revised May 20, 2008; Accepted July 18, 2008; Published October 06, 2008
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Photoacoustic imaging (PAI) has the potential to acquire 3-D optical images at high speed. Attempts at 3-D photoacoustic imaging have used a dense 2-D array of ultrasound detectors or have densely scanned a single detector on a 2-D surface. The former approach is costly and complicated to realize, while the latter is inherently slow. We present a different approach based on a sparse 2-D array of detector elements and an iterative reconstruction algorithm. This approach has the potential for fast image acquisition, since no mechanical scanning is required, and for simple and compact construction due to the smaller number of detector elements. We obtained spatial sensitivity maps of the sparse array and used them to optimize the image reconstruction algorithm. We then validated the method on phantoms containing 3-D distributions of optically absorbing point sources. Reconstruction of the point sources from the time-domain signals resulted in images with good contrast and accurate localization (1mm error). Image acquisition time was 1s. The results suggest that 3-D PAI with a sparse array of detector elements is a viable approach. Furthermore, the rapid acquisition speed indicates the possibility of high frame rate 3-D PAI.

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© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Pinhas Ephrat ; Lynn Keenliside ; Adam Seabrook ; Frank S. Prato and Jeffrey J. L. Carson
"Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction", J. Biomed. Opt. 13(5), 054052 (October 06, 2008). ; http://dx.doi.org/10.1117/1.2992131


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