Compressed sensing in photoacoustic tomography with in vivo experiments

Zijian Guo; Changhui Li; Liang Song; Lihong V. Wang

doi:10.1117/12.841311

11 February 2010 Compressed sensing in photoacoustic tomography with in vivo experiments

Zijian Guo, Changhui Li, Liang Song, Lihong V. Wang

Proceedings Volume 7564, Photons Plus Ultrasound: Imaging and Sensing 2010; 75640J (2010) https://doi.org/10.1117/12.841311
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the laser repetition rate and the number of parallel ultrasound detecting channels. Reconstructing PACT image with a less number of measurements can effectively accelerate the data acquisition and reduce the system cost. Recently emerged Compressed Sensing (CS) theory enables us to reconstruct a compressible image with a small number of projections. This paper adopts the CS theory for reconstruction in PACT. The idea is implemented as a non-linear conjugate gradient descent algorithm and tested with phantom and in vivo experiments.

Citation Download Citation

Zijian Guo, Changhui Li, Liang Song, and Lihong V. Wang "Compressed sensing in photoacoustic tomography with in vivo experiments", Proc. SPIE 7564, Photons Plus Ultrasound: Imaging and Sensing 2010, 75640J (11 February 2010); https://doi.org/10.1117/12.841311

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