Literature DB >> 10800034

Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques.

R Wirestam1, L Andersson, L Ostergaard, M Bolling, J P Aunola, A Lindgren, B Geijer, S Holtås, F Ståhlberg.   

Abstract

Regional cerebral blood flow (rCBF) was assessed using dynamic susceptibility-contrast MRI at 1.5 T. A simultaneous dual FLASH pulse sequence and Gd-DTPA-BMA (0.3 mmol/kg b.w.) were used for examination of 43 volunteers, measuring rCBF in frontal white matter (WM) and in gray matter in the thalamus (GM). Arterial input functions (AIFs) were registered 1) in the carotid artery and 2) in an artery within the GM/WM slice. The measured concentration-vs. -time curve was deconvolved with the AIF using both Fourier Transform (FT) and Singular Value Decomposition (SVD). Relative rCBF was given by the height of the deconvolved response curve. For each volunteer, eight different rCBF maps were calculated, representing different combinations of deconvolution techniques, AIFs, and filters. The average GM-WM rCBF ratios ranged from 2.0-2.2, depending on methodology. Absolute rCBF was 68 +/- 28 ml/(min 100 g) in GM and 35 +/- 13 ml/(min 100g) in WM (mean +/- SD, n = 39). GM-WM rCBF ratios obtained using SVD were 6-10% higher than corresponding ratios obtained using FT. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10800034     DOI: 10.1002/(sici)1522-2594(200005)43:5<691::aid-mrm11>3.0.co;2-b

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  25 in total

1.  Absolute cerebral blood flow measured by dynamic susceptibility contrast MRI: a direct comparison with Xe-133 SPECT.

Authors:  R Wirestam; E Ryding; A Lindgren; B Geijer; S Holtås; F Ståhlberg
Journal:  MAGMA       Date:  2000-12       Impact factor: 2.310

2.  Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H2(15)O positron emission tomography.

Authors:  Kohsuke Kudo; Satoshi Terae; Chietsugu Katoh; Masaki Oka; Tohru Shiga; Nagara Tamaki; Kazuo Miyasaka
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

3.  On the design of filters for Fourier and oSVD-based deconvolution in bolus tracking perfusion MRI.

Authors:  Peter Gall; Philipp Emerich; Birgitte F Kjølby; Elias Kellner; Irina Mader; Valerij G Kiselev
Journal:  MAGMA       Date:  2010-05-29       Impact factor: 2.310

4.  The impact of schizophrenia on frontal perfusion parameters: a DSC-MRI study.

Authors:  Denis Peruzzo; Gianluca Rambaldelli; Alessandra Bertoldo; Marcella Bellani; Roberto Cerini; Marini Silvia; Roberto Pozzi Mucelli; Michele Tansella; Paolo Brambilla
Journal:  J Neural Transm (Vienna)       Date:  2011-01-04       Impact factor: 3.575

5.  Pre-and postoperative cerebral blood flow changes in patients with idiopathic normal pressure hydrocephalus measured by computed tomography (CT)-perfusion.

Authors:  Doerthe Ziegelitz; Jonathan Arvidsson; Per Hellström; Mats Tullberg; Carsten Wikkelsø; Göran Starck
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-14       Impact factor: 6.200

6.  Wavelet-based noise reduction for improved deconvolution of time-series data in dynamic susceptibility-contrast MRI.

Authors:  R Wirestam; F Ståhlberg
Journal:  MAGMA       Date:  2005-05-10       Impact factor: 2.310

7.  Dynamic susceptibility contrast perfusion MR imaging of multiple sclerosis lesions: characterizing hemodynamic impairment and inflammatory activity.

Authors:  Yulin Ge; Meng Law; Glyn Johnson; Joseph Herbert; James S Babb; Lois J Mannon; Robert I Grossman
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

Review 8.  Analysis of contrast-enhanced MR images to assess renal function.

Authors:  N Michoux; J-P Vallée; A Pechère-Bertschi; X Montet; L Buehler; B E Van Beers
Journal:  MAGMA       Date:  2006-08-12       Impact factor: 2.310

9.  Quantitative cerebral blood flow in dynamic susceptibility contrast MRI using total cerebral flow from phase contrast magnetic resonance angiography.

Authors:  David Bonekamp; Mahaveer Degaonkar; Peter B Barker
Journal:  Magn Reson Med       Date:  2011-02-01       Impact factor: 4.668

10.  Cerebral hemodynamics in Moyamoya disease: correlation between perfusion-weighted MR imaging and cerebral angiography.

Authors:  O Togao; F Mihara; T Yoshiura; A Tanaka; T Noguchi; Y Kuwabara; K Kaneko; T Matsushima; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

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