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Linear signal combination T2 spectroscopy.
Sussman, Marshall S.
Afiliação
  • Sussman MS; Joint Department of Medical Imaging, University Health Network, University, Toronto, Ontario, Canada; Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada. Electronic address: marshall.sussman@utoronto.ca.
Magn Reson Imaging ; 66: 257-266, 2020 02.
Article em En | MEDLINE | ID: mdl-31734273
A technique is presented for performing T2 spectroscopy in magnetic resonance imaging (MRI). It is based on a weighted linear combination of T2 decay data. The data is combined in a manner that acts like a filter on the T2 spectrum. The choice of weighting coefficients determines the filter specifications (e.g. passband/stopband locations, stopband suppression factors). To perform spectroscopy, a series of filters are designed with narrow passbands centered about consecutive regions of the T2 spectrum. This provides an estimate of every region of the spectrum. Taken together, an initial estimate of the full T2 spectrum is thus obtained. However, the filtering process causes a distortion of the estimate relative to the true spectrum. To reduce this distortion, deconvolution is performed. The characteristics of the technique are first evaluated through simulation. The technique is then applied to experimental MRI data to demonstrate practical feasibility. T2 spectroscopy falls into a class of problems requiring inverse transformation with a set of exponential basis functions (i.e. the Laplace Transform). It is demonstrated how the present technique may be applied to problems involving non-exponential basis functions as well.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Espectroscopia de Ressonância Magnética Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2020 Tipo de documento: Article País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Espectroscopia de Ressonância Magnética Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2020 Tipo de documento: Article País de publicação: Holanda