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This study implements Acoustic noise and Vibration Optimized dIffusion gradient Design (AVOID) to mitigate these side effects, facilitating the high\u2010performance OGSE applications in demanding hardware environments.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>System transfer functions were measured on a 3.0T ultra\u2010high gradient NeuroFrontier MRI system to characterize hardware responses. The optimization algorithm reshaped OGSE waveforms by redistributing spectral energy away from resonant frequencies while maintaining multiple constraints including hardware limits and desired diffusion encoding spectrum. The optimization was validated by comparing non\u2010optimized and optimized waveforms through physical measurements, phantom scans, and in vivo human brain scans.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Reductions of up to 10\u2009dBA in predicted sound pressure level and 3.4\u2009dB in vibration power spectral intensity were achieved. In phantom experiments, vibration\u2010induced artifacts were significantly mitigated, resulting in superior repeatability and lower coefficients of variation in ADC maps, approaching the minimum\u2010vibration reference by pulsed gradient sequences. In vivo validation demonstrated enhanced acquisition stability and consistent frequency\u2010dependent ADC trends from 0 to 120\u2009Hz.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The AVOID framework effectively suppressed intense acoustic noise and mechanical vibration induced by strong oscillating gradients on ultra\u2010high gradient scanners, ensuring a stable and comfortable environment for advanced microstructural imaging.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.70580","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T04:39:08Z","timestamp":1787719148000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Oscillating Diffusion Gradients to Reduce Mechanical Vibration and Acoustic Noise on Ultra\u2010High Gradient 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9779-4713","authenticated-orcid":false,"given":"Chengbo","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Faculty of Science and Engineering University of Nottingham Ningbo China  Ningbo Zhejiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuming","family":"Shuai","sequence":"additional","affiliation":[{"name":"Central Research Institute, United Imaging Healthcare  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Department United Imaging Healthcare  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianmin","family":"Yuan","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Department United Imaging Healthcare  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