{"title":"网格重建中的噪声行为","authors":"C. Mosquera, Pablo Irarrazabal, D. Nishimura","doi":"10.1109/ICASSP.1995.479946","DOIUrl":null,"url":null,"abstract":"The paper addresses the properties of the noise in gridding reconstruction, an algorithm for reconstruction from nonuniform samples. Sequences with time-varying gradients, such as spiral or projection reconstruction (PR) techniques, are being increasingly used in magnetic resonance imaging (MRI). Since these techniques sample k-space nonuniformly, some kind of algorithm is needed to map the data onto a Cartesian frame to allow an inverse Fourier transform through an FFT. The authors present an analytical characterization of the image noise after gridding and inverse Fourier transform for the most popular sampling techniques used in MRI.","PeriodicalId":300119,"journal":{"name":"1995 International Conference on Acoustics, Speech, and Signal Processing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Noise behavior in gridding reconstruction\",\"authors\":\"C. Mosquera, Pablo Irarrazabal, D. Nishimura\",\"doi\":\"10.1109/ICASSP.1995.479946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper addresses the properties of the noise in gridding reconstruction, an algorithm for reconstruction from nonuniform samples. Sequences with time-varying gradients, such as spiral or projection reconstruction (PR) techniques, are being increasingly used in magnetic resonance imaging (MRI). Since these techniques sample k-space nonuniformly, some kind of algorithm is needed to map the data onto a Cartesian frame to allow an inverse Fourier transform through an FFT. The authors present an analytical characterization of the image noise after gridding and inverse Fourier transform for the most popular sampling techniques used in MRI.\",\"PeriodicalId\":300119,\"journal\":{\"name\":\"1995 International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1995 International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1995.479946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1995.479946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper addresses the properties of the noise in gridding reconstruction, an algorithm for reconstruction from nonuniform samples. Sequences with time-varying gradients, such as spiral or projection reconstruction (PR) techniques, are being increasingly used in magnetic resonance imaging (MRI). Since these techniques sample k-space nonuniformly, some kind of algorithm is needed to map the data onto a Cartesian frame to allow an inverse Fourier transform through an FFT. The authors present an analytical characterization of the image noise after gridding and inverse Fourier transform for the most popular sampling techniques used in MRI.
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