1. 234 - Comparative study of image quality between T2-weighted FRFSE and PROPELLER based on respiratory patterns of abdominal MRI.
- Author
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Park, Mr Hosung
- Subjects
ABDOMEN ,DIAGNOSTIC imaging ,COMPUTER-assisted image analysis (Medicine) ,RESPIRATION ,MAGNETIC resonance imaging ,CONFERENCES & conventions ,QUALITY assurance - Abstract
To evaluate and analyze the image quality of the T2W propeller technique according to breathing patterns by comparing and analyzing the propeller / blade techniques during abdominal MRI examinations. A total of 238 patients (141 males:97 females) undergoing abdominal MRI examinations were analyzed. The equipment was GETM Signa Hdxt 1.5T, the coil was 12ch Body Array, and Axial T2W FRFSE (Fast Recovery FSE) and Axial T2W PROPELLER examination techniques were performed. The groups were divided into 4 groups (A: more than 18 breaths, B: 13∼17 breaths, C: less than 12 breaths, D: inconsistent breathing) according to breathing patterns. The images were quantitatively evaluated using SNR, CNR, and NRQA (non-referenced quality assessment), and qualitatively evaluated by two abdominal radiologists using a 5-point Likert scale. The results were statistically analyzed using R-Studio 4.3.1. In both quantitative evaluation (SNR, CNR, BRISQUE) and qualitative evaluation, the quality of Axial T2W FRFSE images in groups B and C was better (p<0.001*), and Axial T2W PROPELLER images in groups A and D were better (p<0.05*). However, there was no significant difference in SNR of group A among quantitative evaluation items and Ghost Artifact of group C among qualitative evaluation items. In abdominal MRI examinations, the PROPELLER technique showed differences in image quality depending on the breathing method. It was found that the image quality of the PROPELLER technique was better only when the breathing rate was not fast or consistent for more than 18 breaths. Therefore, it is effective to use the PROPELLER technique appropriately according to the patient's breathing method during abdominal MRI examination. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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