Literature DB >> 15004809

Removing the effect of SVD algorithmic artifacts present in quantitative MR perfusion studies.

M R Smith1, H Lu, S Trochet, R Frayne.   

Abstract

Quantitative cerebral blood flow (CBF) values can be obtained from dynamic susceptibility contrast (DSC) MR perfusion studies using the standard singular value decomposition (sSVD) deconvolution algorithm. Reports in the literature from simulation and in vivo studies suggest that CBF estimates obtained using sSVD deconvolution depend on the arterial-tissue delay (ATD). By contrast, Fourier transform (FT) deconvolution produces CBF estimates that are independent of ATD. The diagnostic reliability of quantitative CBF measurements to define areas of normal tissue flow and tissue at risk is brought into doubt by such gross sensitivity to the specifics of the deconvolution approach. This variation of CBF values with ATD is shown to be an artifact associated with the current implementation of the sSVD deconvolution algorithm. A reformulated version of the SVD deconvolution algorithm (rSVD) is presented and compared to the standard SVD algorithm through simulation and patient case studies. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15004809     DOI: 10.1002/mrm.20006

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


  11 in total

1.  Correction for arterial-tissue delay and dispersion in absolute quantitative cerebral perfusion DSC MR imaging.

Authors:  Jessy J Mouannes-Srour; Wanyong Shin; Sameer A Ansari; Michael C Hurley; Parmede Vakil; Bernard R Bendok; John L Lee; Colin P Derdeyn; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2011-12-12       Impact factor: 4.668

2.  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

Review 3.  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

4.  Cerebrovascular reactivity and white matter integrity.

Authors:  Kevin Sam; Boris Peltenburg; John Conklin; Olivia Sobczyk; Julien Poublanc; Adrian P Crawley; Daniel M Mandell; Lakshmikumar Venkatraghavan; James Duffin; Joseph A Fisher; Sandra E Black; David J Mikulis
Journal:  Neurology       Date:  2016-10-28       Impact factor: 9.910

5.  Reliability of CT perfusion-derived CBF in relation to hemodynamic compromise in patients with cerebrovascular steno-occlusive disease: a comparative study with 15O PET.

Authors:  Masanobu Ibaraki; Tomomi Ohmura; Keisuke Matsubara; Toshibumi Kinoshita
Journal:  J Cereb Blood Flow Metab       Date:  2015-03-11       Impact factor: 6.200

6.  Arterial input function placement for accurate CT perfusion map construction in acute stroke.

Authors:  Rafael M Ferreira; Michael H Lev; Gregory V Goldmakher; Shahmir Kamalian; Pamela W Schaefer; Karen L Furie; R Gilberto Gonzalez; Pina C Sanelli
Journal:  AJR Am J Roentgenol       Date:  2010-05       Impact factor: 3.959

7.  A Bayesian estimation method for cerebral blood flow measurement by area-detector CT perfusion imaging.

Authors:  Kazuhiro Murayama; Ewoud J Smit; Mathias Prokop; Yoshihiro Ikeda; Kenji Fujii; Ichiro Nakahara; Satomu Hanamatsu; Kazuhiro Katada; Yoshiharu Ohno; Hiroshi Toyama
Journal:  Neuroradiology       Date:  2022-07-18       Impact factor: 2.995

8.  Tracer delay-insensitive algorithm can improve reliability of CT perfusion imaging for cerebrovascular steno-occlusive disease: comparison with quantitative single-photon emission CT.

Authors:  M Sasaki; K Kudo; K Ogasawara; S Fujiwara
Journal:  AJNR Am J Neuroradiol       Date:  2008-09-03       Impact factor: 3.825

9.  Optimisation of vascular input and output functions in CT-perfusion imaging using 256(or more)-slice multidetector CT.

Authors:  Joris M Niesten; Irene C van der Schaaf; Alan J Riordan; Hugo W A M de Jong; Willem P T M Mali; Birgitta K Velthuis
Journal:  Eur Radiol       Date:  2012-11-29       Impact factor: 5.315

10.  Technical Pitfalls of Signal Truncation in Perfusion MRI of Glioblastoma.

Authors:  Kelvin K Wong; Steve H Fung; Pamela Z New; Stephen T C Wong
Journal:  Front Neurol       Date:  2016-08-02       Impact factor: 4.003

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