Evaluation on the effect of visual frequency detection technique on CMR cine sequence image and measurements for myocardial strain
10.3969/j.issn.1672-8270.2025.06.005
- VernacularTitle:可视化频率侦察技术对心脏磁共振电影序列图像及心肌应变测量值的影响评价
- Author:
Hua ZHU
1
;
Qian LUO
1
;
Yi ZHANG
1
;
Jia YANG
1
;
Lei ZHANG
1
;
Renbin GE
1
Author Information
1. 上海交通大学附属第一人民医院放射科 上海 200080
- Publication Type:Journal Article
- Keywords:
Cardiac magnetic resonance(CMR);
Non resonant artifact free;
Frequency detection technique;
Myocardial strain value;
Spatial resolution
- From:
China Medical Equipment
2025;22(6):24-29
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To assess potential effect of visual frequency detection technique on the image quality of cardiac magnetic resonance(CMR)cine sequences and its measurement values for myocardial strain.Methods:A retrospective study was conducted on 74 patients without a history of myocardial infarction who underwent CMR scanning at Shanghai General Hospital of Shanghai Jiao Tong University from December 2021 to April 2024.Two 3.0T magnetic resonance imaging(MRI)equipment(equipment A and equipment B)that were different models were used for CMR scanning.Equipment A scanned 38 patients,which used the gain frequency(f)0 Hz of default synthesizer of equipment as center frequency of scan.Equipment B scanned 36 patients,which optimized the frequency of synthesizer by using detection technique for frequency.Subjective evaluation of the image quality of cine sequences for 76 patients was conducted by two physicians.Using image post-processing function of the Cardiovascular Imaging(CVI)42 software to measure the average signal strength of the left ventricular myocardium and blood pool in the cine sequence,and to calculate the signal-to-noise ratio(SNR)and contrast to noise ratio(CNR)of the image,and to compare the differences in myocardial strain values between the measurement of automatic delineation with artificial intelligence(AI)and the measurement of delineation by physicians with AI assistant in the scanned cine sequences of same equipment,and the differences in that of measured values with AI between different equipment,and the differences in that of measured values of physicians with AI between different equipment.Results:In the subjective evaluation of image quality,equipment B appeared non resonant artifact free in 31 patients,which was higher than the number of equipment A(19 cases),and the difference was statistically significant(Z=-3.337,P<0.05).There was no statistically significant difference in the circumferential,radial and longitudinal myocardial strain values that were measured by cine sequence of equipment B between AI and AI combined with physician(P>0.05).The longitudinal myocardial strain value that was measured by AI in the cine sequence of equipment A was 15.27%,and that of AI combined with physician was-13.54%,with a statistically significant difference(x2=2.875,P<0.05).Conclusion:Frequency detection technique can lead to positive influence on the consistency and accuracy of the optimal end diastolic phase,and inner and outer membrane of ventricular wall between the delineation of AI automatic identification and the delineation of the identification of AI combined with physicians through improves the image quality of CMR cine sequences,and increases tissue contrast and contour clarity,which can enhance the accuracy of AI in measuring myocardial strain value.
