Literature DB >> 11154950

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

R Wirestam1, E Ryding, A Lindgren, B Geijer, S Holtås, F Ståhlberg.   

Abstract

Absolute regional cerebral blood flow (CBF) was measured in ten healthy volunteers, using both dynamic susceptibility-contrast (DSC) magnetic resonance imaging (MRI) and Xe-133 SPECT within 4 h. After i.v. injection of Gd-DTPA-BMA (0.3 mmol/kg b.w.), the bolus was monitored with a Simultaneous Dual FLASH pulse sequence (1.5 s/image), providing one slice through brain tissue and a second slice through the carotid artery. Concentration C(t) is proportional to -(1/TE) ln[S(t)/S(0)] was related to CBF as C(t) = CBF [AIF(t) x R(t)], where AIF is the arterial input function and R(t) is the residue function. A singular-value-decomposition-based deconvolution technique was used for retrieval of R(t). Absolute CBF was given by Zierler's area-to-height relation and the central volume principle. For elimination of large vessels (ELV), all MRI-based CBF values exceeding 2.5 times the mean CBF value of the slice were excluded. A correction for partial-volume effects (CPVE) in the artery used for AIF monitoring was based on registration of signal in a phantom with tubes of various diameters (1.5-6.5 mm), providing an individual concentration correction factor applied to AIF data registered in vivo. In the Xe-133 SPECT investigation, 3,000-4,000 MBq of Xe-133 was administered intravenously, and CBF was calculated using the Kanno Lassen algorithm. When ELV and CPVE were applied, DSC-MRI showed average CBF values from the entire slice of 43 +/- 10 ml/(min 100 g) (small-artery AIF) and 48 +/- 17 ml/(min 100 g) (carotid-artery AIF) (mean +/- S.D., n = 10). The corresponding Xe-133-SPECT-based CBF was 33 +/- 6 ml/(min 100 g) (n = 10). The relationships of CBF(MRI) versus CBF(SPECT) showed good linear correlation (r = 0.74-0.83).

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11154950     DOI: 10.1007/BF02678472

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  23 in total

1.  Correlation of regional cerebral blood flow from perfusion MRI and spect in normal subjects.

Authors:  T Ernst; L Chang; L Itti; O Speck
Journal:  Magn Reson Imaging       Date:  1999-04       Impact factor: 2.546

2.  Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI.

Authors:  T Hagen; K Bartylla; U Piepgras
Journal:  J Comput Assist Tomogr       Date:  1999 Mar-Apr       Impact factor: 1.826

3.  Simultaneous MR acquisition of arterial and brain signal-time curves.

Authors:  W H Perman; M H Gado; K B Larson; J S Perlmutter
Journal:  Magn Reson Med       Date:  1992-11       Impact factor: 4.668

4.  MR contrast due to microscopically heterogeneous magnetic susceptibility: numerical simulations and applications to cerebral physiology.

Authors:  C R Fisel; J L Ackerman; R B Buxton; L Garrido; J W Belliveau; B R Rosen; T J Brady
Journal:  Magn Reson Med       Date:  1991-02       Impact factor: 4.668

5.  Dynamic CT measurement of cerebral blood flow: a validation study.

Authors:  A Cenic; D G Nabavi; R A Craen; A W Gelb; T Y Lee
Journal:  AJNR Am J Neuroradiol       Date:  1999-01       Impact factor: 3.825

6.  Functional MRI of brain activation induced by scanner acoustic noise.

Authors:  P A Bandettini; A Jesmanowicz; J Van Kylen; R M Birn; J S Hyde
Journal:  Magn Reson Med       Date:  1998-03       Impact factor: 4.668

7.  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

8.  Perfusion imaging with NMR contrast agents.

Authors:  B R Rosen; J W Belliveau; J M Vevea; T J Brady
Journal:  Magn Reson Med       Date:  1990-05       Impact factor: 4.668

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

Authors:  R Wirestam; L Andersson; L Ostergaard; M Bolling; J P Aunola; A Lindgren; B Geijer; S Holtås; F Ståhlberg
Journal:  Magn Reson Med       Date:  2000-05       Impact factor: 4.668

10.  Measurement of cerebral perfusion with dual-echo multi-slice quantitative dynamic susceptibility contrast MRI.

Authors:  E J Vonken; M J van Osch; C J Bakker; M A Viergever
Journal:  J Magn Reson Imaging       Date:  1999-08       Impact factor: 4.813

View more
  8 in total

1.  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

Review 2.  Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities.

Authors:  Linda Knutsson; Freddy Ståhlberg; Ronnie Wirestam
Journal:  MAGMA       Date:  2009-12-04       Impact factor: 2.310

3.  Quantitative blood flow measurements in the small animal cardiopulmonary system using digital subtraction angiography.

Authors:  MingDe Lin; Craig T Marshall; Yi Qi; Samuel M Johnston; Cristian T Badea; Claude A Piantadosi; G Allan Johnson
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

4.  Effects of dexamethasone on cerebral perfusion and water diffusion in patients with high-grade glioma.

Authors:  M E Bastin; T K Carpenter; P A Armitage; S Sinha; J M Wardlaw; I R Whittle
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

5.  Regional cerebral blood flow and blood volume in patients with subcortical arteriosclerotic encephalopathy (SAE).

Authors:  Friedemann J Gückel; Gunnar Brix; Michael Hennerici; Robert Lucht; Christine Ueltzhöffer; Wolfgang Neff
Journal:  Eur Radiol       Date:  2007-03-06       Impact factor: 7.034

6.  Arterial input function and gray matter cerebral blood volume measurements in children.

Authors:  Stephanie B Withey; Jan Novak; Lesley MacPherson; Andrew C Peet
Journal:  J Magn Reson Imaging       Date:  2015-10-30       Impact factor: 4.813

7.  Automated macrovessel artifact correction in dynamic susceptibility contrast magnetic resonance imaging using independent component analysis.

Authors:  Gernot Reishofer; Karl Koschutnig; Christian Enzinger; Anja Ischebeck; Stephen Keeling; Rudolf Stollberger; Franz Ebner
Journal:  Magn Reson Med       Date:  2010-10-06       Impact factor: 4.668

Review 8.  25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives.

Authors:  Jessica Lohrke; Thomas Frenzel; Jan Endrikat; Filipe Caseiro Alves; Thomas M Grist; Meng Law; Jeong Min Lee; Tim Leiner; Kun-Cheng Li; Konstantin Nikolaou; Martin R Prince; Hans H Schild; Jeffrey C Weinreb; Kohki Yoshikawa; Hubertus Pietsch
Journal:  Adv Ther       Date:  2016-01-25       Impact factor: 3.845

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.