Adaptive multi-sample-based photoacoustic tomography with imaging quality optimization
The energy of light exposed on human skin is compulsively limited for safety reasons which affects the power of photoacoustic (PA) signal and its signal-to-noise ratio (SNR) level. Thus, the final reconstructed PA image quality is degraded. This Letter proposes an adaptive multi-sample-based approach to enhance the SNR of PA signals and in addition, detailed information in rebuilt PA images that used to be buried in the noise can be distinguished. Both ex vivo and in vivo experiments are conducted to validate the effectiveness of our proposed method which provides its potential value in clinical trials.
Jie Yuan：School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Sidan Du：School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Xiaojun Liu：School of Physics, Nanjing University, Nanjing 210093, China
Guan Xu：Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
Xueding Wang：Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
备注：This work was supported by the National Natural Science Foundation of China (No. 61201425), the Natural Science Foundation of Jinagsu Province (No. BK20131280), and the Priority Academic Program Development of Jiangsu Higher Education Institutions.
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