{"title":"MRI Applications and Research in Materials Science","authors":"Yu Chen","doi":"10.61173/9d34fb93","DOIUrl":null,"url":null,"abstract":"Magnetic resonance imaging (MRI) has emerged as an indispensable noninvasive technique in materials research, offering comprehensive insights into the interior composition of diverse materials while preserving their integrity. The primary objective of this study is to investigate the utilization of magnetic resonance imaging to examine porous materials, biomaterials, polymers, and composites. This research aims to emphasize the benefits of MRI in the context of non-destructive testing and analysis. Magnetic resonance imaging (MRI) is advantageous due to its capacity to provide exceptional spatial resolution, facilitating the observation of minute structures inside porous materials. This capability significantly contributes to comprehending fluid dynamics and the distribution of pores within such materials. Within the field of biomaterials, magnetic resonance imaging plays a pivotal role in the examination of tissue interactions and drug delivery systems. This imaging technique provides high-resolution visualizations essential for the meticulous research of cellular-level phenomena. The significance of technology in the realm of polymers and composite materials is noteworthy, as it plays a crucial role in facilitating the identification of heterogeneities and the analysis of phase distribution. Nevertheless, various issues need improvement, including signal strength, resolution, and the reaction of materials to magnetic fields. It is advisable to employ advanced imaging techniques, implement signal improvements, and make material-specific adjustments to address these constraints.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"20 24","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Technology of Engineering, Chemistry and Environmental Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61173/9d34fb93","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Magnetic resonance imaging (MRI) has emerged as an indispensable noninvasive technique in materials research, offering comprehensive insights into the interior composition of diverse materials while preserving their integrity. The primary objective of this study is to investigate the utilization of magnetic resonance imaging to examine porous materials, biomaterials, polymers, and composites. This research aims to emphasize the benefits of MRI in the context of non-destructive testing and analysis. Magnetic resonance imaging (MRI) is advantageous due to its capacity to provide exceptional spatial resolution, facilitating the observation of minute structures inside porous materials. This capability significantly contributes to comprehending fluid dynamics and the distribution of pores within such materials. Within the field of biomaterials, magnetic resonance imaging plays a pivotal role in the examination of tissue interactions and drug delivery systems. This imaging technique provides high-resolution visualizations essential for the meticulous research of cellular-level phenomena. The significance of technology in the realm of polymers and composite materials is noteworthy, as it plays a crucial role in facilitating the identification of heterogeneities and the analysis of phase distribution. Nevertheless, various issues need improvement, including signal strength, resolution, and the reaction of materials to magnetic fields. It is advisable to employ advanced imaging techniques, implement signal improvements, and make material-specific adjustments to address these constraints.