Jyoti, Dr. Bijendar Kumar Meena, Dr. Deepak Singh Phogat, Mohit Kumar Dahiya
Vol. 17, Jan-Jun 2024
Abstract:
Background: Good image quality is essential for accurate diagnosis in magnetic resonance imaging (MRI) examinations. This study aimed to investigate how image quality can be improved by implementing improvement strategies on factors that effects the MRI parameters instead of relying solely on conventional techniques. Method: This research employs a Comparative study design to compare the image quality in routine brain Magnetic Resonance Imaging (MRI) scans at 1.5T before and after implementing image quality improvement strategies. The study involved 37 individuals participant’s data (20 females and 17 males) aged 15-70 years who underwent MRI scans. Participants with any systemic disease, acute trauma, pregnancy and participants with absolute contraindications were excluded from the study. Result: The study found that several factors can effects MRI image quality and can be improved by implementing improvement strategies on these factors by manual adjustments. By identifying factors affecting image quality and evaluating improvement strategies, we seek to optimize MRI protocols and enhance the diagnostic utility of routine brain imaging. For instance, increasing the number of Excitation (NEX) values improved image quality. By increasing the echo time (TE) value a 50% images shows improvement in image quality. The volume of shimming showed better image quality than the other two modes (difficult mode and auto mode). Decreasing the flip angle and voxel size also improved image quality Conclusion: In conclusion, image quality can be improved by implementing improvement strategies on factors that effects the MRI parameters in comparison with the conventional techniques.
DOI: http://doi.org/10.37648/ijrmst.v17i01.007