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...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.展开更多
基金Supported by the National Basic Research Program of China under Grant Nos 2011CB922104 and 2011CBA00202the National Natural Science Foundation of China under Grant No 11474154+4 种基金the Natural Science Foundation of Jiangsu Province under Grant No BK2012013the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No 20120091110030the Dengfeng Project B of Nanjing UniversityJiangsu Key Laboratory of Advanced Manipulating Techniques of Electromagnetic Wavesthe Priority Academic Program Development of Jiangsu Higher Education Institutions
基金supported by the National Natural Science Foundation of China(No.61201425)the Natural Science Foundation of Jinagsu Province(No.BK20131280)the Priority Academic Program Development of Jiangsu Higher Education Institutions
文摘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.
