{"title":"全自动处理体内质子光谱和光谱图像","authors":"Zhe Wu, A. Maudsley, M. Weiner","doi":"10.1109/NSSMIC.1993.373544","DOIUrl":null,"url":null,"abstract":"A fully automated spectral analysis method is proposed. This is used in combination with several additional processing steps to provide totally automated formation of /sup 1/H metabolite images from the magnetic resonance (MR) spectral data of the human brain. The MR images obtained by the new method show great improvement compared with the images obtained by the traditional method. The new method could provide a very promising solution to massive routine processing of magnetic resonance spectral imaging data for clinical and biomedical studies.<<ETX>>","PeriodicalId":287813,"journal":{"name":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fully automatic processing of in vivo proton spectra and spectroscopic images\",\"authors\":\"Zhe Wu, A. Maudsley, M. Weiner\",\"doi\":\"10.1109/NSSMIC.1993.373544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fully automated spectral analysis method is proposed. This is used in combination with several additional processing steps to provide totally automated formation of /sup 1/H metabolite images from the magnetic resonance (MR) spectral data of the human brain. The MR images obtained by the new method show great improvement compared with the images obtained by the traditional method. The new method could provide a very promising solution to massive routine processing of magnetic resonance spectral imaging data for clinical and biomedical studies.<<ETX>>\",\"PeriodicalId\":287813,\"journal\":{\"name\":\"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSSMIC.1993.373544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.1993.373544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fully automatic processing of in vivo proton spectra and spectroscopic images
A fully automated spectral analysis method is proposed. This is used in combination with several additional processing steps to provide totally automated formation of /sup 1/H metabolite images from the magnetic resonance (MR) spectral data of the human brain. The MR images obtained by the new method show great improvement compared with the images obtained by the traditional method. The new method could provide a very promising solution to massive routine processing of magnetic resonance spectral imaging data for clinical and biomedical studies.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
