Chinese Optics Letters, 2014, 12 (10): 101102, Published Online: Sep. 28, 2014
Compressive sampling photoacoustic tomography based on edge expander codes and TV regularization Download: 569次
100.3020 Image reconstruction-restoration 110.5120 Photoacoutic imaging 170.5120 Photoacoustic imaging
Abstract
A new photoacoustic (PA) signal sampling and image reconstruction method, called compressive sampling PA tomography (CSPAT), is recently proposed to make low sampling rate and high-resolution PA tomography possible. A key problem within the CSPAT framework is the design of optic masks. We propose to use edge expander codes-based masks instead of the conventional random distribution masks, and efficient total variation (TV) regularization-based model to formulate the associated problem. The edge expander codes-based masks, corresponding to non-uniform sampling schemes, are validated by both theoretical analysis and results from computer simulations. The proposed method is expected to enhance the capability of CSPAT for reducing the number of measurements and fast data acquisition.
Zhenghua Wu, Mingjian Sun, Qiang Wang, Naizhang Feng, Yi Shen. Compressive sampling photoacoustic tomography based on edge expander codes and TV regularization[J]. Chinese Optics Letters, 2014, 12(10): 101102.