Spectral improvement by fourier thresholding of in vivo dynamic spectroscopy data

Autor: Mark A. Creager, Sai Merugumala, Benjamin Rowland, Alexander P. Lin, James A. Balschi, Huijun Liao
Rok vydání: 2015
Předmět:
Zdroj: Magnetic Resonance in Medicine. 76:978-985
ISSN: 0740-3194
DOI: 10.1002/mrm.25976
Popis: Purpose MR spectroscopy (MRS) typically requires averaging of multiple acquisitions to achieve adequate signal-to-noise ratio (SNR). In systems undergoing dynamic changes this can compromise the temporal resolution of the measurement. One such example is 31P MRS of exercising skeletal muscle. Spectral improvement by Fourier thresholding (SIFT) offers a way of suppressing noise without averaging. In this study, we evaluate the performance of SIFT in healthy subjects and clinical cases. Methods 31P MRS of the calf or thigh muscle of subjects (n = 12) was measured continuously before, during, and after exercise. The data were processed conventionally and with the addition of SIFT before quantifying peak amplitudes and frequencies. The postexercise increase in the amplitude of phosphocreatine was also characterized by fitting with an exponential function to obtain the recovery time constant. Results Substantial reductions in the uncertainty of peak fitting for phosphocreatine (73%) and inorganic phosphate (60%) were observed when using SIFT relative to conventional processing alone. SIFT also reduced the phosphocreatine recovery time constant uncertainty by 38%. Conclusion SIFT considerably improves SNR, which improved quantification and parameter estimation. It is suitable for any type of time varying MRS and is both straightforward and fast to apply. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.
Databáze: OpenAIRE
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