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一種基于復(fù)數(shù)主成分分析的磁共振波譜量化預(yù)處理方法

曾衛(wèi)明 梁曉云 羅立民

曾衛(wèi)明, 梁曉云, 羅立民. 一種基于復(fù)數(shù)主成分分析的磁共振波譜量化預(yù)處理方法[J]. 電子與信息學(xué)報(bào), 2005, 27(1): 51-55.
引用本文: 曾衛(wèi)明, 梁曉云, 羅立民. 一種基于復(fù)數(shù)主成分分析的磁共振波譜量化預(yù)處理方法[J]. 電子與信息學(xué)報(bào), 2005, 27(1): 51-55.
Zeng Wei-ming, Liang Xiao-yun, Luo Li-min. A Preprocessing Method for Quantitation of Magnetic Resonance Spectroscopy Based on Complex Principal Component Analysis[J]. Journal of Electronics & Information Technology, 2005, 27(1): 51-55.
Citation: Zeng Wei-ming, Liang Xiao-yun, Luo Li-min. A Preprocessing Method for Quantitation of Magnetic Resonance Spectroscopy Based on Complex Principal Component Analysis[J]. Journal of Electronics & Information Technology, 2005, 27(1): 51-55.

一種基于復(fù)數(shù)主成分分析的磁共振波譜量化預(yù)處理方法

A Preprocessing Method for Quantitation of Magnetic Resonance Spectroscopy Based on Complex Principal Component Analysis

  • 摘要: 該文提出了一種應(yīng)用復(fù)數(shù)主成分分析方法(CPCA)來獲取波譜基木波型,自動(dòng)校正頻率和衰減系數(shù)偏移的方法。該方法首先對(duì)頻率進(jìn)行校正,然后拓寬CPCA的應(yīng)用范圍,把它使用到衰減系數(shù)偏移校正領(lǐng)域。文中的實(shí)現(xiàn)結(jié)果證明:該方法較好地實(shí)現(xiàn)了頻率和衰減系數(shù)的校正,在同實(shí)域PCA方法性能比較上,前者的計(jì)算速度和估計(jì)精度明顯占優(yōu)。
  • Lenkinski R E. MR spectroscopy :Clinical tool or research probe?(Revisited)[J].Academic Radiology.2001, 8(7):567-[2]Lens P N L, Hemminga M A. Nuclear magnetic resonance in environmental engineering: Principles and applications[J].Biodegradation.1998, 9(6):393-[3]Mierisova S M R. Spectroscopy quantitation: a review of frequency domain methods. NMR in Biomedicine. 2001, 14(4):247 - 259.[4]Chen H, Van Huffel S, Vandewalle J. Improved methods for exponential parameter estimation in the presence of known poles and noise[J].IEEE Trans. on Signal Processing.1997, 45(5):1390-[5]Vanhamme L, Van Huffel S, Van Hecke P, Van Ormondt D.Time-domain quantification of series of biomedical magnetic resonance spectroscopy signals. Journal of Magnetic Resonance 1999, 140(1): 120- 130.[6]Stoyanova R, Kuesel A C, Brown T R. Application of principalcomponent analysis for NMR spectral quantitation[J].Journal of Magnetic Resonance, Series A.1995, 115(2):265-[7]Brown T R, Stoyanova R. NMR spectral quantitation by principal component analysis. Ⅱ determination of frequency and phase shifts. Journal of Magnetic Resonance, Series B, 1996, 112(1):32 - 43.[8]Witjes H, Melssen W J, int Zandt H J A, van der Graaf M,Heerschap A, Buydens L M C. Automatic correction for phase shifts, frequency shifts, and lineshape distortions across a series of single resonance lines in large spectral data sets[J].Journal of Magnetic Resonance.2000, 144(1):35-[9]Witjes H, Pepers M, Melssen W J, Buydens L M C. Modelling phase shifts, peak shifts and peak width variations in spectral data sets: its value in multivariate data analysis, Analytica Chimica Acta, 2001, 432(1): 113 - 124.[10]Stoyanova R, Brown T R. NMR spectral quantitation by principal component analysis. A generalized procedure for determination of lineshape variations. Journal of Magnetic Resonance, 2002,154 (2): 163- 175.[11]Elliott M A, Walter Glenn A, Swift A, Vandenborne K, Schotland J C, Leigh J S. Spectral quantitation by principal component analysis using complex singular value decomposition[J].Magnetic Resonance in Medicine.1999, 41(3):450-3.0.CO;2-9' target='_blank'>[12]Van Huffel S, Wang Y, Vanhamme L, Van Hecke P. Automatic frequency alignment and quantitation of single resonances in multiple magnetic resonance spectra via complex principal component analysis[J].Journal of Magnetic Resonance.2002, 158(1):1-[13]Vanhamme L, Fierro R D, Van Huffel S, de Beer R. Fast removal of residual water in proton spectra, Journal of Magnetic Resonance, 1998, 132(2): 197 -203.
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出版歷程
  • 收稿日期:  2003-08-01
  • 修回日期:  2004-07-05
  • 刊出日期:  2005-01-19

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