Literature DB >> 12663823

Automatic calculation of the arterial input function for cerebral perfusion imaging with MR imaging.

Timothy J Carroll1, Howard A Rowley, Victor M Haughton.   

Abstract

An automated method for determination of arterial input function (AIF) for rapid determination of cerebral perfusion with dynamic susceptibility contrast magnetic resonance (MR) imaging was derived. In 100 patients, the automated method was used to create images of relative blood flow, relative cerebral blood volume, and mean transit time. In 20 patients, the voxel chosen with the automated AIF correlated with a large cerebral artery and exhibited less partial-volume averaging when compared with an AIF chosen manually. It is possible to reliably determine the AIF at dynamic susceptibility contrast MR imaging and eliminate the need for operator input and lengthy postprocessing. Copyright RSNA, 2003

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Year:  2003        PMID: 12663823     DOI: 10.1148/radiol.2272020092

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  49 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.  SCALE-PWI: A pulse sequence for absolute quantitative cerebral perfusion imaging.

Authors:  Jessy Mouannes Srour; Wanyong Shin; Saurabh Shah; Anindya Sen; Timothy J Carroll
Journal:  J Cereb Blood Flow Metab       Date:  2010-12-15       Impact factor: 6.200

3.  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

4.  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

5.  Identifying systematic errors in quantitative dynamic-susceptibility contrast perfusion imaging by high-resolution multi-echo parallel EPI.

Authors:  Thies H Jochimsen; Rexford D Newbould; Stefan T Skare; David B Clayton; Gregory W Albers; Michael E Moseley; Roland Bammer
Journal:  NMR Biomed       Date:  2007-06       Impact factor: 4.044

6.  Pattern of hemodynamic impairment in multiple sclerosis: dynamic susceptibility contrast perfusion MR imaging at 3.0 T.

Authors:  Sumita Adhya; Glyn Johnson; Joseph Herbert; Hina Jaggi; James S Babb; Robert I Grossman; Matilde Inglese
Journal:  Neuroimage       Date:  2006-09-22       Impact factor: 6.556

7.  Ventral striatal blood flow is altered by acute nicotine but not withdrawal from nicotine.

Authors:  Jody Tanabe; Thomas Crowley; Kent Hutchison; David Miller; Glyn Johnson; Yiping P Du; Gary Zerbe; Robert Freedman
Journal:  Neuropsychopharmacology       Date:  2007-04-25       Impact factor: 7.853

8.  Extraction of the first bolus passage in dynamic susceptibility contrast perfusion measurements.

Authors:  Peter Gall; Irina Mader; Valerij G Kiselev
Journal:  MAGMA       Date:  2009-04-21       Impact factor: 2.310

9.  Quantification of cerebral perfusion using the "bookend technique": an evaluation in CNS tumors.

Authors:  Timothy J Carroll; Sandra Horowitz; Wanyong Shin; Jessy Mouannes; Rahul Sawlani; Saad Ali; Jeffrey Raizer; Stephen Futterer
Journal:  Magn Reson Imaging       Date:  2008-06-05       Impact factor: 2.546

10.  Heterogeneity of cortical lesions in multiple sclerosis: an MRI perfusion study.

Authors:  Denis Peruzzo; Marco Castellaro; Massimiliano Calabrese; Elisa Veronese; Francesca Rinaldi; Valentina Bernardi; Alice Favaretto; Paolo Gallo; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2012-12-19       Impact factor: 6.200

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