Computed tomography(CT) blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point ...Computed tomography(CT) blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point spread function. The main advantage from multichannel blind CT image restoration is to exploit the diversity and redundancy of information in different acquisitions. The proposed approach is based on a variable splitting to obtain an equivalent constrained optimization formulation, which is addressed with the alternating direction method of multipliers and simply implemented in the Fourier domain. Numerical experiments illustrate that our method obtains a higher average gain value of at least 1.21 d B in terms of Q metric than the other methods, and it requires only 7 iterations of alternating minimization to obtain a fast convergence.展开更多
The SARS-CoV-2 virus has caused various health problems worldwide,including coughing and wheezing.Computed tomography(CT)imaging of lungs can help to determine the presence and location of disease.However,manually eva...The SARS-CoV-2 virus has caused various health problems worldwide,including coughing and wheezing.Computed tomography(CT)imaging of lungs can help to determine the presence and location of disease.However,manually evaluating large numbers of CT images by healthcare professionals places strict demands on their expertise.Our team developed a LungNet system to analyze CT images with the goal of detecting the presence of disease,characterizing the type of lesion to aid medical professionals in diagnosis.To evaluate the performance of our model,we conduct experiments on the publicly available SARS-CoV-2 CT scan dataset,and the classification accuracy can reach 98.8%.展开更多
基金Supported by the National Natural Science Foundaton of China(No.61340034)China Postdoctoral Science Foundation(No.2013M530873)the Research Program of Application Foundation and Advanced Technology of Tianjin(No.13JCYBJC15600)
文摘Computed tomography(CT) blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point spread function. The main advantage from multichannel blind CT image restoration is to exploit the diversity and redundancy of information in different acquisitions. The proposed approach is based on a variable splitting to obtain an equivalent constrained optimization formulation, which is addressed with the alternating direction method of multipliers and simply implemented in the Fourier domain. Numerical experiments illustrate that our method obtains a higher average gain value of at least 1.21 d B in terms of Q metric than the other methods, and it requires only 7 iterations of alternating minimization to obtain a fast convergence.
文摘The SARS-CoV-2 virus has caused various health problems worldwide,including coughing and wheezing.Computed tomography(CT)imaging of lungs can help to determine the presence and location of disease.However,manually evaluating large numbers of CT images by healthcare professionals places strict demands on their expertise.Our team developed a LungNet system to analyze CT images with the goal of detecting the presence of disease,characterizing the type of lesion to aid medical professionals in diagnosis.To evaluate the performance of our model,we conduct experiments on the publicly available SARS-CoV-2 CT scan dataset,and the classification accuracy can reach 98.8%.
