최적의 FOV를 위한 MR신호강도와 신호 대 잡음비 값의 비교분석
Analysis and Comparison of MR Signal Strength and SNR Value for Optimal FOV
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초록
Despite the continuous development of software, it is continuously pursued to enlarge the examination area of FOV in order to reduce the factors of inconsistency in images that appear in continuous examination during wide area examination using contrast agent such as whole body angiography. In this study, we investigated the optimal FOV by comparing the SNR values according to the changes of FOV. The change of the FOV was gradually changed to 270 × 200, 300 × 223, 330 × 244, 360 × 266 and 380 × 281. SE images at TR 450 msec and TE 10 msec, FSE images at TR 2,000 msec, TE 80msec, and GE images were scanned at TR 117 msec, and TE 16msec. SNR values were calculated from the mean values of signal intensities of five phantom images and the signal intensity values of four background standard deviations. As a result of the study, the signal intensity and the SNR value according to the change of the FOV value gradually increased as the FOV was increased, but it was found that the SNR value decreased at a constant size. In conclusion, the results are different from previous studies that the SNR increases as the FOV increases. The cause of these results could not be confirmed. However methods that can be imaged and included within the effective FOV should be considered.
Abstract
Despite the continuous development of software, it is continuously pursued to enlarge the examination area of FOV in order to reduce the factors of inconsistency in images that appear in continuous examination during wide area examination using contrast agent such as whole body angiography. In this study, we investigated the optimal FOV by comparing the SNR values according to the changes of FOV. The change of the FOV was gradually changed to 270 × 200, 300 × 223, 330 × 244, 360 × 266 and 380 × 281. SE images at TR 450 msec and TE 10 msec, FSE images at TR 2,000 msec, TE 80msec, and GE images were scanned at TR 117 msec, and TE 16msec. SNR values were calculated from the mean values of signal intensities of five phantom images and the signal intensity values of four background standard deviations. As a result of the study, the signal intensity and the SNR value according to the change of the FOV value gradually increased as the FOV was increased, but it was found that the SNR value decreased at a constant size. In conclusion, the results are different from previous studies that the SNR increases as the FOV increases. The cause of these results could not be confirmed. However methods that can be imaged and included within the effective FOV should be considered.
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