Compressed-sensing photoacoustic computed tomography in vivo with partially known support

Creators: Meng, Jing; Wang, Lihong V.; Ying, Leslie; Liang, Dong; Song, Liang

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Abstract

Compressed sensing (CS) can recover sparse signals from under-sampled measurements. In this work, we have developed an advanced CS framework for photoacoustic computed tomography (PACT). During the reconstruction, a small part of the nonzero signals' locations in the transformed sparse domain is used as partially known support (PKS). PACT reconstructions have been performed with under-sampled in vivo image data of human hands and a rat. Compared to PACT with basic CS, PACT with CS-PKS can recover signals using fewer ultrasonic transducer elements and can improve convergence speed, which may ultimately enable high-speed, low-cost PACT for various biomedical applications.

Additional Information

© 2012 Optical Society of America. Received 19 Apr 2012; revised 22 May 2012; accepted 22 May 2012; published 6 Jul 2012. This work was supported in part by the Shenzhen Development and Reform Commission Fund [2010] 1599 (Key Technologies for Medical Imaging), the Guangdong Innovation Research Team Fund for Low-cost Healthcare Technologies (GIRTF-LCHT), the Low-cost Health Engineering Research Program of the Chinese Academy of Sciences [2011] to L.S., as well as the National Natural Science Foundation of China 61102042, 81120108012, and the Basic Research Program of Shenzhen JC201104220219A to D.L.. J. Meng would like to thank H. F. Shi and J. H. Chen for beneficial discussions on the analysis of frequency signals.

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