RESUMO
Objective To discuss the technical specifications of current high-frequency electrotome detection,to avoid the hidden danger of high-frequency electrotome power detectors,and to measure the leakage current of different kinds of highfrequency electrotome accurately.Methods The power and leakage current of the high frequency electrotome were measured by FLUCK QA-ES Ⅱ high frequency electrotome analyzer.The safety of the two methods was compared before and after the improvement of the power measurement.Four parameters of leakage current were repeatedly measured with the ways of high frequency earthing and high frequency isolation respectively.The maximum measurement of leakage current was recorded.Results The improved connection method was safe in the power measurement.For the high-frequency electrotome in the model of high frequency earthing,the values of leakage current were restrained within the range of error with two ways of monopolar loading operation electrode and neutral electrode.For the high-frequency electrotome in the model of high frequency isolation,the values of leakage current were limited within the range of error withtwo ways of monopolar empty operation electrode and neutral electrode.Conclusion The improved high-frequency electrotome power detection method is safe for detectors.The data obtained from the leakage current detection method using the national standard correction method reflect the actual state of the high-frequency electrotome,when the electrotome with earth as the reference is used to detect the leakage current with loading or the insulated electrotome is applied to measuring the leakage current with no loading.
RESUMO
Objective To design and implement an automatic analysis and evaluation system for the image parameters of medical MRI quality testing.Methods The system was developed and debugged by the study on MRI image quality parameters,the image denoising,integration,extraction and etc by MATLAB processing platform as well as the comparison and comparative calculation of the obtained data.Results The system replaced manual operation by auto processing and parameters analysis of MRI quality inspection image.Conclusion The system enhances the efficiency and avoids artificial error,and has a promising prospect in the future.
RESUMO
Objective To discuss the technical specifications of current high-frequency electrotome detection,to avoid the hidden danger of high-frequency electrotome power detectors,and to measure the leakage current of different kinds of highfrequency electrotome accurately.Methods The power and leakage current of the high frequency electrotome were measured by FLUCK QA-ES Ⅱ high frequency electrotome analyzer.The safety of the two methods was compared before and after the improvement of the power measurement.Four parameters of leakage current were repeatedly measured with the ways of high frequency earthing and high frequency isolation respectively.The maximum measurement of leakage current was recorded.Results The improved connection method was safe in the power measurement.For the high-frequency electrotome in the model of high frequency earthing,the values of leakage current were restrained within the range of error with two ways of monopolar loading operation electrode and neutral electrode.For the high-frequency electrotome in the model of high frequency isolation,the values of leakage current were limited within the range of error withtwo ways of monopolar empty operation electrode and neutral electrode.Conclusion The improved high-frequency electrotome power detection method is safe for detectors.The data obtained from the leakage current detection method using the national standard correction method reflect the actual state of the high-frequency electrotome,when the electrotome with earth as the reference is used to detect the leakage current with loading or the insulated electrotome is applied to measuring the leakage current with no loading.
RESUMO
Objective To design and implement an automatic analysis and evaluation system for the image parameters of medical MRI quality testing.Methods The system was developed and debugged by the study on MRI image quality parameters,the image denoising,integration,extraction and etc by MATLAB processing platform as well as the comparison and comparative calculation of the obtained data.Results The system replaced manual operation by auto processing and parameters analysis of MRI quality inspection image.Conclusion The system enhances the efficiency and avoids artificial error,and has a promising prospect in the future.