Literature DB >> 19121907

Application of FT-based MMSE deconvolution method for cerebral blood flow measurement in patients with leukoaraiosis.

Unal Sakoglu1, Branko Huisa-Garate, Gary A Rosenberg, Rohit Sood.   

Abstract

INTRODUCTION: The bolus-tracking (BT) technique is the most popular perfusion-weighted (PW) dynamic susceptibility contrast MRI method used for estimating cerebral blood flow (CBF), cerebral blood volume and mean transit time. The BT technique uses a convolution model that establishes the input-output relationship between blood flow and the vascular tracer concentration. Singular value decomposition (SVD)- and Fourier transform (FT)-based deconvolution methods are popular and widely used for estimating PW MRI parameters. However, from the published literature, it appears that SVD is more widely accepted than other methods. In a previous article, an FT-based minimum mean-squared error (MMSE) technique was proposed and simulation experiments were performed to compare it with the well-established circular SVD (oSVD) method. In this study, the FT-based MMSE method has been used to estimate relative CBF (rCBF) in 13 patients with white matter lesions (WMLs) (leukoaraiosis), and results are compared with the widely used oSVD method.
MATERIALS AND METHODS: Thirteen patients with leukoaraiosis were imaged on a 1.5-T Siemens whole-body scanner. After acquiring the localizer and structural scans consisting of FLAIR (fluid attenuated with inversion recovery), T(1)-weighted and T(2)-weighted images, perfusion study was implemented as part of the MRI protocol. For each patient and method, two values were calculated: (a) rCBF for normal white matter (NWM) ROI, obtained by dividing the average CBF value in NWM ROI with average CBF in gray matter (GM) ROI, and (b) rCBF for WML ROI, obtained by dividing the average CBF value in WML ROI with average CBF in GM ROI. Results for the two deconvolution methods were computed. RESULTS AND DISCUSSION: A significant (P<.05) decrease in estimated rCBF was observed in the WML in all the patients using the MMSE method, while for the oSVD method, the decrease was observed in all but one patient. Initial results suggest that the MMSE method is comparable to the oSVD method for estimating rCBF in NMW while it may be better than oSVD for estimating rCBF in lesions of low flow. Studies involving a larger patient population may be required to further validate the findings of this work.

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Year:  2009        PMID: 19121907      PMCID: PMC2755077          DOI: 10.1016/j.mri.2008.10.011

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  7 in total

1.  Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix.

Authors:  Ona Wu; Leif Østergaard; Robert M Weisskoff; Thomas Benner; Bruce R Rosen; A Gregory Sorensen
Journal:  Magn Reson Med       Date:  2003-07       Impact factor: 4.668

2.  A deconvolution method for evaluating indicator-dilution curves.

Authors:  G T Gobbel; J R Fike
Journal:  Phys Med Biol       Date:  1994-11       Impact factor: 3.609

3.  Cerebral blood flow estimation from perfusion-weighted MRI using FT-based MMSE filtering method.

Authors:  Unal Sakoglu; Rohit Sood
Journal:  Magn Reson Imaging       Date:  2007-12-26       Impact factor: 2.546

4.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

5.  Nephrogenic systemic fibrosis: risk factors and incidence estimation.

Authors:  Elizabeth A Sadowski; Lindsey K Bennett; Micah R Chan; Andrew L Wentland; Andrea L Garrett; Robert W Garrett; Arjang Djamali
Journal:  Radiology       Date:  2007-01-31       Impact factor: 11.105

6.  Leuko-araiosis, cerebral atrophy, and cerebral perfusion in normal aging.

Authors:  M Kobari; J S Meyer; M Ichijo
Journal:  Arch Neurol       Date:  1990-02

7.  Cognitive performance after lacunar stroke correlates with leukoaraiosis severity.

Authors:  Aaron M McMurtray; Alex Liao; Janelle Haider; Eliot Licht; Mario F Mendez
Journal:  Cerebrovasc Dis       Date:  2007-07-17       Impact factor: 2.762

  7 in total
  1 in total

1.  In vivo vascular hallmarks of diffuse leukoaraiosis.

Authors:  Jinsoo Uh; Uma Yezhuvath; Yamei Cheng; Hanzhang Lu
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

  1 in total

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