Asymmetric spin-echo (ASE) spiral improves BOLD fMRI in inhomogeneous regions

2009 ◽  
Vol 22 (6) ◽  
pp. 654-662 ◽  
Author(s):  
Kimberly D. Brewer ◽  
James A. Rioux ◽  
Ryan C. N. D'Arcy ◽  
Chris V. Bowen ◽  
Steven D. Beyea
Keyword(s):  
Spin Echo ◽  
Bold Fmri ◽  
Asymmetric Spin Echo

Increasing BOLD fMRI Specificity using Asymmetric Spin-Echo (ASE) Spiral

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S196
Author(s):  
KD Brewer ◽  
RCN D'Arcy ◽  
CV Bowen ◽  
SD Beyea
Keyword(s):  
Spin Echo ◽  
Bold Fmri ◽  
Asymmetric Spin Echo

scholarly journals Improvement of sensitivity and specificity for laminar BOLD fMRI with double spin-echo EPI in humans at 7 T

NeuroImage ◽  
2021 ◽  
pp. 118435
Author(s):  
SoHyun Han ◽  
Seulgi Eun ◽  
HyungJoon Cho ◽  
Kâmil Uludaǧ ◽  
Seong-Gi Kim
Keyword(s):  
Sensitivity And Specificity ◽  
Spin Echo ◽  
Bold Fmri ◽  
Double Spin

Mapping of the cerebral response to acetazolamide using graded asymmetric spin echo EPI

2005 ◽  
Vol 23 (9) ◽  
pp. 907-920 ◽  
Author(s):  
Bhashkar Mukherjee ◽  
Mark Preece ◽  
Gavin C. Houston ◽  
Nikolas G. Papadakis ◽  
T. Adrian Carpenter ◽  
...  
Keyword(s):  
Spin Echo ◽  
Asymmetric Spin Echo

SU-FF-I-70: Asymmetric Spin Echo in FMRI at 3T: A Quantitative Evaluation of BOLD Response and Signal Drop Off

2006 ◽  
Vol 33 (6Part4) ◽  
pp. 2013-2013
Author(s):  
P Hou ◽  
J Steinberg ◽  
D Chen ◽  
F moeller ◽  
P Narayana
Keyword(s):  
Quantitative Evaluation ◽  
Spin Echo ◽  
Bold Response ◽  
Asymmetric Spin Echo

scholarly journals Ultrafast bold fMRI using single-shot spin-echo echo planar imaging

2009 ◽  
Vol 34 (1) ◽  
pp. 37 ◽  
Author(s):  
Said Boujraf ◽  
Paul Summers ◽  
Faouzi Belahsen ◽  
Klaas Prussmann ◽  
Spyros Kollias
Keyword(s):  
Spin Echo ◽  
Echo Planar Imaging ◽  
Single Shot ◽  
Planar Imaging ◽  
Bold Fmri ◽  
Echo Planar

scholarly journals Simulations of the effect of diffusion on asymmetric spin echo based quantitative BOLD: An investigation of the origin of deoxygenated blood volume overestimation

2019 ◽  
Author(s):  
Alan J Stone ◽  
Naomi C Holland ◽  
Avery J L Berman ◽  
Nicholas P Blockley
Keyword(s):  
Blood Volume ◽  
Spin Echo ◽  
Oxygen Extraction Fraction ◽  
Parameter Estimates ◽  
Analysis Model ◽  
Extraction Fraction ◽  
Echo Time ◽  
Asymmetric Spin Echo ◽  
The Impact ◽  
The Relationship

AbstractQuantitative BOLD (qBOLD) is a technique for mapping oxygen extraction fraction (OEF) and deoxygenated blood volume (DBV) in the human brain. Recent measurements using an asymmetric spin echo (ASE) based qBOLD approach produced estimates of DBV which were systematically higher than measurements from other techniques. In this study, we investigate two hypotheses for the origin of this DBV overestimation using simulations and consider the implications for experimental measurements. Investigations were performed by combining Monte Carlo simulations of extravascular signal with an analytical model of the intravascular signal.Hypothesis 1DBV overestimation is due to the presence of intravascular signal which is not accounted for in the analysis model. Intravascular signal was found to have a weak effect on qBOLD parameter estimates.Hypothesis 2DBV overestimation is due to the effects of diffusion which are not accounted for in the analysis model. The effect of diffusion on the extravascular signal was found to result in a vessel radius dependent variation in qBOLD parameter estimates. In particular, DBV overestimation peaks for vessels with radii from 20 to 30 μm and is OEF dependent. This results in the systematic underestimation of OEF.ImplicationsThe impact on experimental qBOLD measurements was investigated by simulating a more physiologically realistic distribution of vessel sizes with a small number of discrete radii. Overestimation of DBV consistent with previous experiments was observed, which was also found to be OEF dependent. This results in the progressive underestimation of the measured OEF. Furthermore, the relationship between the measured OEF and the true OEF was found to be dependent on echo time and spin echo displacement time.The results of this study demonstrate the limitations of current ASE based qBOLD measurements and provide a foundation for the optimisation of future acquisition approaches.

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