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| The Application Value of Iterative Image Reconstruction Algorithm Based on Machine Learning in MRI Scanning in Skeletal System |
| HU Jiayuan, YANG Xiangxiong |
| Department of Radiology, The Second Xiangya Hospital, Central South University,Changsha Hunan 410011 |
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Abstract 【Objective】To explore the application value of iterative image reconstruction algorithms based on machine learning in magnetic resonance imaging (MRI) scanning of the skeletal system. 【Methods】87 patients with skeletal system diseases who underwent 1.5T MRI scans at The Second Xiangya Hospital, Central South University were selected. First, routine sequence scans were performed, and then the sequence protocols of T1WI and T2WI were modified with parameters such as voxel size and excitation frequency. The scanning time was reduced before scanning. The images obtained after scanning were imported into the iterative image reconstruction algorithm software IQMR based on machine learning for processing. The obtained images were statistically analyzed using both quantitative and qualitative methods.【Results】After processing the sequence with a 30% reduction in scanning time using an iterative image reconstruction algorithm based on machine learning, there was no statistically significant difference in image quality between the skeletal system and conventional imaging sequences (P>0.05). 【Conclusion】The iterative image reconstruction algorithm based on machine learning can not only achieve fast imaging of bone systems, but also obtain image quality similar to conventional imaging sequences, thereby improving work efficiency.
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Received: 08 October 2023
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2023, Vol. 40 
