{"title":"利用k空间数据估计提高磁共振成像空间分辨率","authors":"O. Naguliak, A. Netreba, S. Radchenko, O. Sudakov","doi":"10.1109/ELNANO.2017.7939769","DOIUrl":null,"url":null,"abstract":"The new method for obtaining images with high resolution so called super resolution (SR) images is proposed. The proposed method is to increase the spatial resolution of the images with low resolution. The low-resolution images (LR) obtained using different angle data acquisition of the same field of view FOV. The proposed technique for SR imaging is supposed to reduce the acquisition time and increase spatial resolution while hardware limits. The evaluation of the quality of tomograms for different methods of signal data set estimation has been carried out.","PeriodicalId":333746,"journal":{"name":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Increasing of the MR imaging spatial resolution by data estimation in k-space\",\"authors\":\"O. Naguliak, A. Netreba, S. Radchenko, O. Sudakov\",\"doi\":\"10.1109/ELNANO.2017.7939769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new method for obtaining images with high resolution so called super resolution (SR) images is proposed. The proposed method is to increase the spatial resolution of the images with low resolution. The low-resolution images (LR) obtained using different angle data acquisition of the same field of view FOV. The proposed technique for SR imaging is supposed to reduce the acquisition time and increase spatial resolution while hardware limits. The evaluation of the quality of tomograms for different methods of signal data set estimation has been carried out.\",\"PeriodicalId\":333746,\"journal\":{\"name\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELNANO.2017.7939769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO.2017.7939769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Increasing of the MR imaging spatial resolution by data estimation in k-space
The new method for obtaining images with high resolution so called super resolution (SR) images is proposed. The proposed method is to increase the spatial resolution of the images with low resolution. The low-resolution images (LR) obtained using different angle data acquisition of the same field of view FOV. The proposed technique for SR imaging is supposed to reduce the acquisition time and increase spatial resolution while hardware limits. The evaluation of the quality of tomograms for different methods of signal data set estimation has been carried out.