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| 1 | Sitting or Standing Data Acquisition Based Breast Ultrasound Computed Tomography显示文摘Ultrasound computed tomography(UCT)is a promising approach for early breast cancer screening.However,current studies which use prone posture to collect breast ultrasonic data cause four problems,a long non-data-acquisition time,inconvenient,possible chances for cross infection,and a large area occupied by equipment.The purpose of this study is to estimate a complete breast UCT image by using sitting or standing data acquisition,which can obtains a more rapid,convenient and sanitary examination process,and a less space occupied by equipment.Therefore,this study proposes a sitting or standing data acquisition based breast UCT method,which is a more practical data acquisition method for breast UCT.This study places a uniform soft sleeve on the outside of the breast so that it would not be deformed significantly due to the change of body posture.Because the soft sleeve is an influencing factor from outside for breast imaging,this study discusses the considerations for selecting that.Computer simulations are conducted to prove the effectiveness of the proposed method.Results suggest that,by using a soft sleeve whose sound speed is between 1450 m/s and 1550 m/s,the proposed method is effective;the biases of the reconstructed images are less than 1%under the 5%noise condition. | LI Ruijing CHEN Houjin PENG Yahui LI Jupeng LI Yanfeng | 2021 | Chinese Journal of Electronics2021，30，5： | 0 |
| 2 | Ultrasound Computed Tomography of Knee Joint显示文摘Ultrasound computed tomography(UCT)is considered to have great potential for the early diagnosis of knee joint injuries.Combining prior knowledge and sound speeds of tissues,UCT can diagnose a variety of symptoms and the extent of tissue lesion.However,no existing studies can reconstruct the sound speed distributions of knee joints in UCT.Therefore,in this study,sound speed distributions of knee joints are reconstructed to provide an imaging basis for the formulation of a treatment plan.In addition,Full waveform inversion(FWI)methods are utilized to estimate highresolution images.However,for media with large variations in sound speeds,traditional FWI methods may lead to a cycle-skipping phenomenon and incorrect convergence direction.Hence,this study proposes a multi-centerfrequency source based FWI method to overcome the above limitations.A penalized least-squares optimization problem is constructed to obtain a numerical solution of the sound speed distribution.Computer simulations are conducted to prove the effectiveness and robustness of the proposed method.Furthermore,the reasons for selecting the center frequencies of sources are analyzed.Two numerical knee joint phantoms are used to evaluate the performance.The results suggest that the biases of the reconstructed images are less than 1% under a 5% noise condition. | LI Ruijing CHEN Houjin PENG Yahui LI Jupeng LI Yanfeng | 2020 | Chinese Journal of Electronics2020，29，4： | 0 |
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