J. Beaumont, O. Acosta, P. Raniga, G. Gambarota, J. Fripp
{"title":"对MP2RAGE部分体积估计模型的推广,以解释7T时B1+的不均匀性","authors":"J. Beaumont, O. Acosta, P. Raniga, G. Gambarota, J. Fripp","doi":"10.1109/ISBI48211.2021.9434089","DOIUrl":null,"url":null,"abstract":"Brain morphometry performed with magnetic resonance (MR) imaging is affected by partial volume (PV) effects when single voxels contain the signal from two different tissues. This paper proposes a generalization of the MP2 RAGE sequence PV estimation model which accounts for transmitted magnetic field $(B1^{+})$ inhomogeneities at 7T. Our simulation experiments demonstrated that the PV estimation error of the proposed model is significantly lower than the error obtained with the same model neglecting $B1^{+}$ inhomogeneities (p<0.0001). The accuracy and precision of the $B1^{+}$ model (acc=92.0%, prec=89.6%) was significantly increased compared to the non $B1^{+}$ model (acc=69.8%, prec=65.4%). This highlights the importance of accounting for $B1^{+}$ inhomogeneities when computing PV on MP2RAGE data, which would otherwise limit the accuracy of brain morphometry at 7T.","PeriodicalId":372939,"journal":{"name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T\",\"authors\":\"J. Beaumont, O. Acosta, P. Raniga, G. Gambarota, J. Fripp\",\"doi\":\"10.1109/ISBI48211.2021.9434089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brain morphometry performed with magnetic resonance (MR) imaging is affected by partial volume (PV) effects when single voxels contain the signal from two different tissues. This paper proposes a generalization of the MP2 RAGE sequence PV estimation model which accounts for transmitted magnetic field $(B1^{+})$ inhomogeneities at 7T. Our simulation experiments demonstrated that the PV estimation error of the proposed model is significantly lower than the error obtained with the same model neglecting $B1^{+}$ inhomogeneities (p<0.0001). The accuracy and precision of the $B1^{+}$ model (acc=92.0%, prec=89.6%) was significantly increased compared to the non $B1^{+}$ model (acc=69.8%, prec=65.4%). This highlights the importance of accounting for $B1^{+}$ inhomogeneities when computing PV on MP2RAGE data, which would otherwise limit the accuracy of brain morphometry at 7T.\",\"PeriodicalId\":372939,\"journal\":{\"name\":\"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISBI48211.2021.9434089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI48211.2021.9434089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T
Brain morphometry performed with magnetic resonance (MR) imaging is affected by partial volume (PV) effects when single voxels contain the signal from two different tissues. This paper proposes a generalization of the MP2 RAGE sequence PV estimation model which accounts for transmitted magnetic field $(B1^{+})$ inhomogeneities at 7T. Our simulation experiments demonstrated that the PV estimation error of the proposed model is significantly lower than the error obtained with the same model neglecting $B1^{+}$ inhomogeneities (p<0.0001). The accuracy and precision of the $B1^{+}$ model (acc=92.0%, prec=89.6%) was significantly increased compared to the non $B1^{+}$ model (acc=69.8%, prec=65.4%). This highlights the importance of accounting for $B1^{+}$ inhomogeneities when computing PV on MP2RAGE data, which would otherwise limit the accuracy of brain morphometry at 7T.