Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Photoacoustic tomography (PAT) of biological tissue offers potential advantages in distinguishing different structures according to their chemical composition. Hover, as medical photoacoustic (PA) signals are broad band, which usually cover a 0.2–50 MHz range, current band-limited ultrasound transducers can only receive and present a limited fraction of that range. Besides, the received PA signals are usually of low signal-to-noise ratio (SNR), which further deteriorates the image quality. Therefore, the goal of this work is to recover the out-of-band frequency components in the received PA signals based on a best estimate of the frequency response of the ultrasound transducers, and to improve the PA image quality. Hereby,  came up with a method including signal recovery based on inverse filtering and multi-sampled signal de-noising, with which  re capable of rebuilding wider band PA signals and reconstructing PA images with higher SNR. In this way, detailed information that used to be buried in the background noise was revealed, and the boundaries of the imaging object re enhanced. Computer simulations as ll as phantom and   in vivo   experiments re carried out and reconstructed images re given for illustration. In the future, our work can be applied to clinical and preclinical biomedical imaging fields, such as multi-spectrum PA imaging, angiography and other related fields.
['Meng Cao', 'Ting Feng', 'Jie Yuan', 'Guan Xu', 'Xueding Wang', 'Paul L. Carson']
I am writing a research paper on a idea Spread Spectrum Photoacoustic Tomography With Image Optimization
[{"from": "human", "value": "I am writing a research paper on a idea Spread Spectrum Photoacoustic Tomography With Image Optimization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Photoacoustic tomography (PAT) of biological tissue offers potential advantages in distinguishing different structures according to their chemical composition. Hover, as medical photoacoustic (PA) signals are broad band, which usually cover a 0.2\u201350 MHz range, current band-limited ultrasound transducers can only receive and present a limited fraction of that range. Besides, the received PA signals are usually of low signal-to-noise ratio (SNR), which further deteriorates the image quality. Therefore, the goal of this work is to recover the out-of-band frequency components in the received PA signals based on a best estimate of the frequency response of the ultrasound transducers, and to improve the PA image quality. Hereby,  came up with a method including signal recovery based on inverse filtering and multi-sampled signal de-noising, with which  re capable of rebuilding wider band PA signals and reconstructing PA images with higher SNR. In this way, detailed information that used to be buried in the background noise was revealed, and the boundaries of the imaging object re enhanced. Computer simulations as ll as phantom and   in vivo   experiments re carried out and reconstructed images re given for illustration. In the future, our work can be applied to clinical and preclinical biomedical imaging fields, such as multi-spectrum PA imaging, angiography and other related fields."}]