Literature DB >> 16032688

Quantification of cerebral arterial blood volume and cerebral blood flow using MRI with modulation of tissue and vessel (MOTIVE) signals.

Tae Kim1, Seong-Gi Kim.   

Abstract

Regional cerebral arterial blood volume (CBVa) and blood flow (CBF) can be quantitatively measured by modulation of tissue and vessel (MOTIVE) signals, enabling separation of tissue signal from blood. Tissue signal is selectively modulated using magnetization transfer (MT) effects. Blood signal is changed either by injection of a contrast agent or by arterial spin labeling (ASL). The measured blood volume represents CBVa because the contribution from venous blood was insignificant in our measurements. Both CBVa and CBF were quantified in isoflurane-anesthetized rats at 9.4T. CBVa obtained using a contrast agent was 1.1 +/- 0.5 and 1.3 +/- 0.6 ml/100 g tissue (N = 10) in the cortex and caudate putamen, respectively. The CBVa values determined from ASL data were 1.0 +/- 0.3 ml/100 g (N = 10) in both the cortex and the caudate putamen. The match between CBVa values determined by both methods validates the MOTIVE approach. In ASL measurements, the overestimation in calculated CBF values increased with MT saturation levels due to the decreasing contribution from tissue signals, which was confirmed by the elimination of blood with a contrast agent. Using the MOTIVE approach, accurate CBF values can also be obtained. 2005 Wiley-Liss, Inc

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Year:  2005        PMID: 16032688     DOI: 10.1002/mrm.20550

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


  40 in total

1.  Simultaneous measurement of cerebral blood flow and transit time with turbo dynamic arterial spin labeling (Turbo-DASL): application to functional studies.

Authors:  Yuguang Meng; Ping Wang; Seong-Gi Kim
Journal:  Magn Reson Med       Date:  2011-12-09       Impact factor: 4.668

2.  Contributions of dynamic venous blood volume versus oxygenation level changes to BOLD fMRI.

Authors:  Xiaopeng Zong; Tae Kim; Seong-Gi Kim
Journal:  Neuroimage       Date:  2012-02-28       Impact factor: 6.556

3.  Quantification of arterial cerebral blood volume using multiphase-balanced SSFP-based ASL.

Authors:  Lirong Yan; Cheng Li; Emily Kilroy; Felix W Wehrli; Danny J J Wang
Journal:  Magn Reson Med       Date:  2011-11-29       Impact factor: 4.668

4.  Large enhancement of perfusion contribution on fMRI signal.

Authors:  Xiao Wang; Xiao-Hong Zhu; Yi Zhang; Wei Chen
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-07       Impact factor: 6.200

5.  Dynamics of changes in blood flow, volume, and oxygenation: implications for dynamic functional magnetic resonance imaging calibration.

Authors:  Ikuhiro Kida; Douglas L Rothman; Fahmeed Hyder
Journal:  J Cereb Blood Flow Metab       Date:  2006-10-11       Impact factor: 6.200

6.  Cerebral blood volume changes during brain activation.

Authors:  Steffen Norbert Krieger; Markus Nikolar Streicher; Robert Trampel; Robert Turner
Journal:  J Cereb Blood Flow Metab       Date:  2012-05-09       Impact factor: 6.200

7.  Frequency-dependent neural activity, CBF, and BOLD fMRI to somatosensory stimuli in isoflurane-anesthetized rats.

Authors:  Tae Kim; Kazuto Masamoto; Mitsuhiro Fukuda; Alberto Vazquez; Seong-Gi Kim
Journal:  Neuroimage       Date:  2010-03-27       Impact factor: 6.556

Review 8.  Current trends and challenges in MRI acquisitions to investigate brain function.

Authors:  Bradley P Sutton; Cheng Ouyang; Dimitrios C Karampinos; Gregory A Miller
Journal:  Int J Psychophysiol       Date:  2009-02-21       Impact factor: 2.997

Review 9.  Perfusion MRI: the five most frequently asked technical questions.

Authors:  Marco Essig; Mark S Shiroishi; Thanh Binh Nguyen; Marc Saake; James M Provenzale; David Enterline; Nicoletta Anzalone; Arnd Dörfler; Alex Rovira; Max Wintermark; Meng Law
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

10.  Characterization of non-hemodynamic functional signal measured by spin-lock fMRI.

Authors:  Tao Jin; Seong-Gi Kim
Journal:  Neuroimage       Date:  2013-04-22       Impact factor: 6.556

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