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ANALISIS PENGARUH VARIASI NUMBER OF SIGNAL AVERAGES (NSA) TERHADAP INFORMASI CITRA ANATOMI PADA MRI LUMBAL T2 TSE POTONGAN AXIAL DI RSUD BAKTI PAJAJARAN CIBINONG
Research Background: In clinical practice, Magnetic Resonance Imaging (MRI) is the primary imaging modality for evaluating the spine because it provides detailed visualization of soft tissues without the use of ionizing radiation. In this matter, the Number of Signal Averages (NSA) is one of the imaging parameters that influences image quality as well as scan time. The previous researches have suggested the use of variations in NSA to analyse anatomical image information in axial T2 Turbo Spin Echo (TSE) lumbar MRI in order to achieve an optimal balance between image quality and scan time.rnResearch Objective: This research aims to determine the effect of variations in the Number of Signal Averages (NSA) on anatomical image information in axial lumbar MRI examinations using the T2 Turbo Spin Echo (TSE) sequence, and to identify the most optimal NSA value for producing the best image quality.rnResearch Design: This research employed a quantitative method with experimental approach undertaken at Radiology Department of Bakti Pajajaran Regional General Hospital, Cibinong, in November 2025, with a total of 10 participants. As for the data, they were collected using among the other things experimental observation, documentation, and questionnaires. While the data processing and analysis were systematically performed using the Kappa statistic and the Kruskal-Wallis test.rnResearch Results: As the result, the Kruskal–Wallis test demonstrated that variations in NSA significantly affect anatomical image information in axial T2 Turbo Spin Echo (TSE) lumbar MRI. However, the increasing the NSA value did not always correspond to a clinically meaningful improvement in anatomical clarity. Considering that image quality is already adequate at NSA 1 and by taking into account the examination time efficiency, using NSA 1 is certainly considered the most optimal for producing diagnostically useful images without prolonging the scan time.
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