4.3 Article

Suppression of spectral anomalies in SSFP-NMR signal by the Krylov Basis Diagonalization Method

期刊

JOURNAL OF MAGNETIC RESONANCE
卷 243, 期 -, 页码 74-80

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmr.2014.03.009

关键词

SSFP; FFT; KBDM; FDM; Spectral analysis

资金

  1. FAPESP [2011/11160-3, 2012/20247-8, 2013/07793-6]
  2. CNPq [301087/2009-1]
  3. CeRTEV, Center for Research, Technology and Education in Vitreous Materials
  4. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [11/11160-3, 12/20247-8] Funding Source: FAPESP

向作者/读者索取更多资源

Kiylov Basis Diagonalization Method (KBDM) is a numerical procedure used to fit time domain signals as a sum of exponentially damped sinusoids. In this work KBDM is used as an alternative spectral analysis tool, complimentary to Fourier transform. We report results obtained from C-13 Nuclear Magnetic Resonance (NMR) by Steady State Free Precession (SSFP) measurements in brucine, C23H26N2O4. Results lead to the conclusion that the KBDM can be successfully applied, mainly because it is not influenced by truncation or phase anomalies, as observed in the Fourier transform spectra. (C) 2014 Elsevier Inc. All rights reserved.

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