Frequency domain, photoacoustic tomography with sparse frequency samples
Photoacoustic imaging provides a high resolution imaging solution for biological tissues. In this paper, we consider recovering the z-averaged spatial distribution using a cylindrical array of sensors long in the z-direction. This configuration can be applied for breast imaging. In previous frequency domain algorithms there is no way to determine the optimum, minimum number of frequency samples required. We propose a novel frequency domain algorithm which uses a minimum number of frequency...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of IEEE Workshop on Signal Processing Systems (SiPS 2010)|
|01_Salehin_Frequency_domain,_2010.pdf||178.46 kB||Adobe PDF||Request a copy|
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