國家衛生研究院 NHRI:Item 3990099045/1459
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    题名: Fast eddy current compensation by feedback linearization neural networks: Applications in diffusion-weighted echo planar imaging
    作者: Hwang, SC;Yao, C;Hsieh, CH;Chen, JH
    贡献者: Division of Medical Engineering Research
    摘要: This study describes the application of the method of feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis. This approach of preemphasis adjustment does not require an iterative procedure between measurement and adjustment, therefore is essentially instantaneous in its execution. Based on our study, gradient compensation determined by our procedure effectively suppressed eddy current-induced geometric distortion and spatial shift of diffusion-weighted EPI images.
    关键词: Chemistry, Physical;Instruments & Instrumentation;Physics, Atomic, Molecular & Chemical;Spectroscopy
    日期: 2006-02
    關聯: Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering. 2006 Feb;29B(1):1-8.
    Link to: http://dx.doi.org/10.1002/cmr.b.20058
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1552-5031&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000235523200001
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33644932156
    显示于类别:[姚晶(2001-2014)] 期刊論文

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