13:30 |
0862.
|
Real-Time Field Control for
Enhanced Temporal SNR in fMRI Time Series -
permission withheld
Bertram J. Wilm1, Lars Kasper1,
Yolanda Duerst1, Benjamin E. Dietrich1,
Simon Gross1, Thomas Schmid1,
David O. Brunner1, Christoph Barmet1,2,
and Klaas P. Pruessmann1
1Institute for Biomedical Engineering, ETH
Zurich and University of Zurich, Zurich, Zurich,
Switzerland, 2Skope
Magnetic Resonance Technologies, Zurich, Switzerland
In fMRI time series temporal SNR is reduced by field
drifts as well as physiological noise such as stemming
from breathing or limb motion. To address this problem
we present the use of a real-time field control system
to compensate for field fluctuations independently of
the employed sequence without the need to alter image
reconstruction or additional pre-processing.
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13:42 |
0863. |
Reducing
susceptibility-induced signal loss in echo planar imaging
using a shim insert coil at 7T: Implication for BOLD fMRI
Tae Kim1, Tiejun Zhao2, Yoojin Lee1,
Piotr Starewicz3, Hoby Hetherington1,
and Jullie Pan1
1Radiology, University of Pittsburgh,
Pittsburgh, PA, United States, 2Siemens
Medical Solution USA, INC., Siemens MediCare USA,
Pittsburgh, PA, United States, 3Resonance
Research Inc., Billerica, MA, United States
High degree/order shimming was applied to increase field
homogeneity to reduce susceptibility-induced signal loss
in gradient-echo EPI using a shim insert coil at 7T. Use
of the shim insert improved the overall homogeneity
across the entire brain by 30% in comparison to
conventional 1st&2nd degree/order shimming. For
challenging brain regions such as the anterior temporal
and frontal lobes use of the shim insert increased the
temporal-signal-to-noise ratios by 111.2%. Our study
demonstrates that the use of higher order/degree shims
improves GE-EPI BOLD signal at high field.
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13:54 |
0864.
|
Resting-State fMRI with 3rd-Order
Dynamic Shim Updating (DSU) and Dynamic F0 Determination
Ariane Fillmer1, Milan Scheidegger1,2,
Signe Johanna Vannesjo1, Matteo Pavan1,
Klaas Paul Pruessmann1, and Anke Henning1,3
1Institute for Biomedical Engineering,
University and ETH Zurich, Zurich, ZH, Switzerland, 2Clinic
of Affective Disorders and General Psychiatry,
University Hospital of Psychiatry Zurich, Zurich,
Switzerland, 3Max
Planck Institute for Biological Cybernetics, Tuebingen,
Germany
EPI, the “work horse” of fMRI, is prone to artifacts,
induced by B0 inhomogeneities. Therefore, sophisticated
B0 shimming techniques are required. A promising, but
technically demanding approach for B0 shimming is
dynamic shim updating (DSU). The application of DSU to
fMRI is, however, only feasible, if an accurate
pre-emphasis calibration for eddy current correction
(ECC) is implemented. This work presents the first
report of resting-state fMRI data, acquired with a
3rd-order dynamically updated B0 shim along with a
dynamic F0 determination.
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14:06 |
0865. |
Improved cortical boundary
registration for locally distorted fMRI
Tim van Mourik1, Peter J Koopmans1,
and David G Norris1
1Donders Centre for Cognitive Neuroimaging,
Nijmegen, Netherlands
We propose a registration method that corrects local
distortion in functional scans, using the brain surfaces
as constructed by FreeSurfer. An iterative procedure of
Boundary Based Registration (Greve & Fischl 2009) is
used in a multiscale approach to register parts of the
brain, first at the whole-brain level, then at smaller
levels. The specificity increases at each stage and
accurately and robustly corrects for local mismatches
between the structural and the functional volumes. This
non-linear registration greatly improves the spatial
accuracy, which allows for laminar analysis.
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14:18 |
0866.
|
Dynamic correction of
geometric distortions in EPI: "CURED"
Barbara Dymerska1, Benedikt Poser2,
Wolfgang Bogner1, Eelke Visser3,
Pedro Cardoso1, Markus Barth4,5,
Siegfried Trattnig1, and Simon Robinson1
1Departement of Biomedical Imaging and
Image-guided Therapy, Medical University of Vienna,
Vienna, Vienna, Austria, 2Department
of Psychology and Neuroscience, Cognitive Neuroscience,
Maastricht University, Maastricht, Netherlands, 3Nuffield
Department of Clinical Neurosciences, University of
Oxford, Oxford, Oxford, United Kingdom, 4Erwin
L. Hahn Institute for Magnetic Resonance Imaging, Essen,
Germany, 5Donders
Institute for Brain, Cognition and Behaviour, Donders
Centre for Cognitive Neuroimaging, Radboud University
Nijmegen, Nijmegen, Netherlands
Echo Planar Imaging suffers from geometric distortions
caused by local magnetic field inhomogeneities. We here
present a new dynamic distortion correction (DDC) based
on an EPI sequence, in which the echo time is alternated
between two values in the odd and even time points
allowing calculation of the field maps between adjacent
time points. Proposed method showed more accurate
distortion correction than static approach. EPI images
were successfully unwarped at 7T using DDC despite head
motion. Additionally, the precision of the activation
localization in fMRI measurements with volunteers
performing chin and motion tasks was improved.
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14:30 |
0867. |
Gradient blips in the slice
direction improve the flexibility of simultaneous fMRI
acquisitions of distributed brain regions
Jürgen Finsterbusch1,2
1Department of Systems Neuroscience,
University Medical Center Hamburg-Eppendorf, Hamburg,
Germany, 2Neuroimage
Nord, Hamburg-Kiel-Lübeck, Germany
Recently, an approach has been presented to acquire
different regions distributed in the brain in a single
projection image with a high temporal resolution. To
distinguish the signals of the different target regions
unambiguously, their projections must not overlap which
constrains the positions of the regions and the
orientation of the projection plane. Here, the approach
is extended by gradient blips in the slice direction in
order to shift the projections of the different target
regions relative to each other (similar to blipped-CAIPIRINHA).
Thus, the positions of the target regions and the image
plane can be chosen more flexibly.
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14:42 |
0868.
|
Conventional 2D-EPI or
Segmented 3D-EPI? A Temporal SNR Study at 3 and 7 Tesla
Rüdiger Stirnberg1 and
Tony Stöcker1
1German Center for Neurodegenerative Diseases
(DZNE), Bonn, Germany
This work studies the temporal SNR characteristics of
conventional 2D-EPI and segmented 3D-EPI acquisitions
under realistic conditions for standard and advanced
applications. Therefore, different whole-brain protocols
optimized for BOLD fMRI at normal and high spatial
resolutions are prepared. Time series data are acquired
at 3 and 7 Tesla. As expected, segmented 3D-EPI achieves
higher tSNR than 2D-EPI at high spatial resolutions
(thermal noise dominated regime). Beyond that, however,
a general signal sensitivity advantage due to higher
imaging acceleration capabilities (larger data rate,
hence increased robustness of fMRI data) renders 3D-EPI
useful even at typical, rather coarse resolutions.
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14:54 |
0869.
|
Steady-state Functional MRI
Using Spoiled Small-tip Fast Recovery (STFR) Imaging
Hao Sun1, Jeffrey A. Fessler1,
Douglas C. Noll2, and Jon-Fredrik Nielsen2
1Electrical Engineering and Computer Science,
the University of Michigan, Ann Arbor, MI, United
States, 2Biomedical
Engineering, the University of Michigan, Ann Arbor, MI,
United States
Most functional brain MR imaging uses T2*-weighted
gradient-echo sequences with single-shot readout (BOLD
fMRI), providing high activation contrast but suffering
from off-resonance-induced image artifacts (signal drop,
distortions or blurring). Steady-state fMRI based on
balanced steady-state free precession (bSSFP) uses
segmented readouts and can produce excellent image
quality, but is susceptible to dark “banding” artifacts,
and generally has lower functional contrast than BOLD.
Small-tip fast recovery (STFR) imaging is a recently
proposed steady-state imaging sequence that has similar
image intensity to bSSFP, but with reduced signal
variations (banding) due to resonance offsets. STFR
relies on a tailored “tip-up,” or “fast recovery,” RF
pulse to align the spins with the longitudinal axis
after each data readout segment. Using Monte Carlo Bloch
simulation and preliminary in vivo experiments, it has
been demonstrated that STFR can produce detectable fMRI
signal. Here we investigate the spoiled STFR fMRI
sequence in more detail by: (1) performing a
quantitative comparison between simulation and in vivo
experiments, and (2) estimating test–retest reliability
of STFR (and BOLD) functional maps.
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15:06 |
0870. |
Mapping Activation in the
Human Brainstem at 7 T with High Spatial and Temporal
Resolution Using RASER and SSBA
Ute Goerke1, M. Elias Kersten2,
Siraj Bachani2, David A. Bereiter2,
and Donald R. Nixdorf2
1CMRR/Radiology, University of Minnesota,
Minneapolis, Minnesota, United States, 2School
of Dentistry, University of Minnesota, Minnesota, United
States
In previous studies, it has been demonstrated that the
emerging ultrafast imaging sequence RASER is beneficial
for fMRI at ultrahigh magnetic field strength. In this
paper, we show the potential of RASER for mapping neural
correlates of pain processing in the human brain stem
with high spatial and temporal resolution. In
particular, 3D-RASER captures the BOLD response with
higher temporal resolution compared to multi-slice
technique. Activation maps were generated using the
post-processing technique, SSBA. Robust activation was
found in trigeminal nucleus (V2), the chief sensory
nucleus and the periaqueductal grey induced by a
moderately painful prick stimulus of the gingiva.
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15:18 |
0871. |
The viscoelastic response
of the human brain to functional activation detected by
magnetic resonance elastography
Andreas Fehlner1, Sebastian Hirsch1,
Jing Guo1, Jürgen Braun2, and
Ingolf Sack1
1Department of Radiology, Charité -
Universitätsmedizin Berlin, Berlin, Germany, 2Department
of Medical Informatics, Charité - Universitätsmedizin
Berlin, Berlin, Germany
This study is on the human brain's mechanical response
to functional activation by fast single shot MR
elastography (MRE). In a total of 57 volunteers we
observed a significant reduction of cerebral
viscoelasticity in the order of 2.5% due to visual
stimulation. The sensitivity of functional MRE was
higher at very low vibration frequencies of 25 and 30 Hz
compared to 40 and 50 Hz indicating the involvement of
poroelastic effects. In contrast to activity patterns
revealed by BOLD fMRI, the viscoelastic response to
brain function appears to be a global phenomenon which
may arise from activity-induced alteration of micro
vascular pressure and effective tissue pressure.
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