人工智能压缩感知技术在不同线圈下单髋关节MRI中的应用价值OA
Application Value of Artificial Intelligence Compressed Sensing Technology in Single Hip Joint MRI with Different Coils
目的 探讨人工智能压缩感知(Artificial Intelligence Compressed Sensing,ACS)技术在不同线圈条件下单髋关节磁共振成像(Magnetic Resonance Imaging,MRI)检查中的应用价值.方法 前瞻性招募30名健康志愿者,分别用大超柔线圈并行采集(Parallel Imaging,PI)技术和ACS技术、超柔体线圈ACS技术行单髋关节多序列扫描.按PI、ACS和体线圈ACS分组测量髋关节股骨头、臀中肌等解剖结构的信号强度及背景噪声,计算信噪比(Signal to Noise Ratio,SNR)和对比噪声比(Contrast to Noise Ratio,CNR).由2名放射科医师对整体图像质量、组织结构显示、脂肪抑制效果及图像伪影进行主观评分.采用Friedman秩和检验对3组图像的主观评价和客观评价进行统计学分析.结果 ACS组和PI组的图像质量主观评分差异无统计学意义(P>0.05);体线圈ACS组在整体图像评分中,矢状位PDWI序列和冠状位PDWI序列与PI组和ACS组差异有统计学意义(P<0.05),在伪影评分中横轴位、矢状位、冠状位PDWI序列低于ACS组,差异有统计学意义(P<0.05).客观数据中,ACS组除横轴位PDWI序列SNR肌肉外,其余SNR、CNR均高于PI组和体线圈ACS组,ACS组冠状位PDWI和冠状位T1WI序列SNR肌肉、CNR与PI组无统计学差异(P>0.05),其余均有统计学差异(P<0.05);ACS组横轴位PDWI序列SNR股骨头、SNR肌肉、CNR和冠状位PDWI序列中SNR股骨头与体线圈ACS组差异无统计学意义(P>0.05),其余均有统计学差异(P<0.05).ACS组整体扫描时间较PI组缩短了45.3%.结论 ACS技术在单髋关节MRI中有较好的图像质量和显著缩短扫描时间的优势,ACS技术图像质量在部分序列中用超柔体线圈与常规线圈相近,可在患者病况不宜采用大超柔线圈病况时采用.
Objective To explore the application value of artificial intelligence compressed sensing(ACS)technology in single hip joint magnetic resonance imaging(MRI)examinations under different coil conditions.Methods Thirty healthy volunteers were prospectively recruited.Multi-sequence scans of the single hip joint were performed using three protocols:a large ultra-soft coil with parallel imaging(PI)technology,a large ultra-soft coil with ACS technology,and an ultra-soft body coil with ACS technology.For the PI group,ACS group,and body coil ACS group,the signal intensity of anatomical structures(including the femoral head and gluteus medius)and background noise were measured,and the signal to noise ratio(SNR)and contrast to noise ratio(CNR)were calculated.Two radiologists conducted subjective scoring of the images in terms of overall image quality,tissue structure visualization,fat suppression effect,and image artifacts.The Friedman rank-sum test was used for statistical analysis of the subjective and objective evaluation results of the three groups.Results There was no statistically significant difference in the subjective image quality scores between the ACS group and the PI group(P>0.05).In the body coil ACS group,the overall image scores of the sagittal PDWI sequence and coronal PDWI sequence showed statistically significant differences compared with those of the PI group and ACS group(P<0.05).In terms of artifact scores,the body coil ACS group scored lower than the ACS group in the axial,sagittal,and coronal PDWI sequences,with statistically significant differences(P<0.05).In the objective data,except for the SNR of muscle in the axial PDWI sequence,the other SNR and CNR values of the ACS group were higher than those of the PI group and body coil ACS group.For the ACS group,there was no statistically significant difference in the muscle SNR and CNR of the coronal PDWI and coronal T1WI sequences compared with the PI group(P>0.05),while statistically significant differences were observed in other sequences(P<0.05).Additionally,there was no statistically significant difference between the ACS group and the body coil ACS group in the femoral head SNR,muscle SNR,and CNR of the axial PDWI sequence,as well as the femoral head SNR of the coronal PDWI sequence(P>0.05),but statistically significant differences were found in other sequences(P<0.05).The overall scanning time of the ACS group was 45.3%shorter than that of the PI group.Conclusion ACS technology offers good image quality and significantly shortened scanning time in single hip joint MRI.In some sequences,the image quality of ACS technology with an ultra-soft body coil is comparable to that with a conventional coil,so it can be used when the patient's condition is not suitable for a large ultra-soft coil.
张婷;张立新;许秀娥;江桂莲;宁凯;李向明;徐辉
首都医科大学附属北京友谊医院 放射科,北京 100050首都医科大学附属北京友谊医院 放射科,北京 100050首都医科大学附属北京友谊医院 放射科,北京 100050首都医科大学附属北京友谊医院 放射科,北京 100050首都医科大学附属北京友谊医院 放射科,北京 100050首都医科大学附属北京友谊医院 放射科,北京 100050首都医科大学附属北京友谊医院 放射科,北京 100050
医药卫生
人工智能压缩感知技术(ACS)单髋关节并行采集大超柔线圈超柔体线圈MRI
artificial intelligence compressed sensing(ACS)technologysingle hip jointparallel acquisitionlarge ultra-soft coilultra-soft body coilMRI
《中国医疗设备》 2025 (9)
123-128,167,7
国家自然科学基金(52227814).
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