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@article{173087,
        author = {Ms Shuhrat ShafI and Ms Nahida Bilal},
        title = {Noise reduction strategies in MRI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {1852-1856},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173087},
        abstract = {Magnetic Resonance Imaging (MRI) is an essential diagnostic tool, but 2 high acoustics noise levels generated during scanning can cause patient discomfort, anxiety, and even hearing damage. This review explores various noise reduction strategies to 
enhance patient experience and optimize imaging performance. Key approaches include acoustic shielding and damping materials, optimized gradient coil design, and silent or whisper imaging sequences. Active noise cancellation (ANC) techniques and patient-specific noise protection, such as earplugs and MRI-compatible headphones, further mitigate sound exposure. Additionally, advancements in gradient switching technology help balance noise reduction with imaging efficiency. Implementing these strategies improve patient compliance, reduces motion artifacts, and enhances the overall diagnostic quality of MRI. Magnetic Resonance Imaging (MRI) is a crucial diagnostic tool, but the high acoustic noise generated during scanning poses challenges for patient comfort and image quality. This noise, primarily caused by rapid gradient coil switching, can lead to patient anxiety, hearing damage, and motion artifacts. Various noise reduction strategies have been developed, including passive methods such as acoustic shielding, ear protection, and gradient coil damping, as well as active noise control techniques like optimized pulse sequences and active noise cancellation (ANC) systems. Additionally, silent MRI techniques, such as ultra-low gradient switching and modified acquisition schemes, have emerged as promising solutions. This paper explores these strategies, their effectiveness, and potential future advancements to improve patient experience and diagnostic accuracy in MRI.},
        keywords = {acousticnoise. (AN)gradient coils. (grads), lorentz forces. (F) active noise cancellation (ANC)},
        month = {February},
        }