Steadystate free precession and other 3D methods for

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Steady-state free precession and other 3D methods
for high-resolution FMRI
Karla L. Miller FMRIB Centre, Oxford University
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Why is high-resolution FMRI so difficult?

• Signal-to-noise ratio
• For example, 2x2x2 mm has 8x SNR of 1x1x1 mm
  (would require 64 times longer scan)
• For single-shot, distortion increases with matrix
  size
• Isotropic resolution (thin slices) is hard in 2D

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2D High-resolution FMRI
Acquire EPI in multiple shots (segmented or
interleaved) Allows increased resolution
without increased distortion High-resolution
in-plane, but limit on slice thickness!
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2D Multi-slice MRI
excited slice
Each slice excited acquired separately TR time
between repeated excitation of same slice
(typically 13 seconds) Slices no thinner than 1
mm
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True 3D imaging
excited volume
Excite entire slab, readout in 3D k-space TR
time between repeated slab excitations (5-50
ms) Can achieve thin slices (isotropic
resolution, like structurals)!
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SNR Benefit of 3D Trajectories
SNR is higher for 3D since same magnetization is
sampled more frequently Calculated for 3D
stack-of-spirals
Yanle Hu and Gary Glover, Stanford
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3D Functional MRI

• Advantages
• SNR benefits, provided short TR can be used
• Can achieve thinner slices (e.g., for isotropic
  voxels)
• 3D multi-shot ? low distortion

• Disadvantages
• Can require long volume scan times (may be
  fixable!)
• Acquisition time (e.g., slice timing) is
  difficult to define
• Slices must be contiguous (no inter-slice gap)

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Adapting echo planar imaging (EPI) to 3D
2D segmented EPI
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3D EPI GRE at 3T
0.8 x 0.8 x 0.8 mm3 0.5 mm3 TR69 ms, 7 s/vol,
24 minutes scan time
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3D EPI GRE at 3T (0.8 x 0.8 x 0.8 mm3 )
Single image 7 s scan time
Mean timecourse image 4 min scan time
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Adapting spiral to 3D
2D interleaved spiral
3D stack-of-spiral
Yang et al, MRM 1996
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Comparison of 2D vs 3D spiral FMRI

• 20 higher functional SNR in 3D compared to 2D
• Significantly more activated voxels (2x at chosen
  threshold)

Hu and Glover, MRM 2006
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3D spiral GRE with partial k-space

• Faster imaging 64 slices in 6.4 s (full) vs. 4.0
  s (partial)

• Higher statistical power due to reduced
  physiological noise

Hu and Glover, MRM 2006
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High-resolution retinotopy at 7T
2D single-shot EPI
3D segmented EPI

• 1x1x1 mm3 resolution
• Identification of retinotopically-distinct
  regions
• Reduced distortion in 3D segmented EPI

Itamar Kahn and Randy Buckner, MGH
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3D GRE BOLD at 7T
0.67 x 0.67 x 0.67 mm3 0.3 mm3 12 minutes scan
time
Karla Miller and Chris Wiggins, MGH
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3D GRE BOLD at 7T
0.58 x 0.58 x 0.58 mm3 0.2 mm3 18 minutes scan
time
Karla Miller and Chris Wiggins, MGH
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3D Imaging GRE vs. SSFP

• 3D imaging generally requires short TR
• SSFP tends to out-perform GRE in this regime

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Balanced Steady-state Free Precession (SSFP)

• SSFP signal dependence on off-resonance

• Transition band SSFP image in signal transitions
• Contrast deoxyHb frequency shift

• Passband SSFP image in flat part of signal
  profile
• Contrast T2 at short TR

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Transition-band SSFP

• Functional contrast occurs in bands
• Changing center frequency shifts region of high
  signal (and functional contrast)
• Multi-frequency experiments
• Repeat stimulus at multiple center frequencies to
  extend coverage
• Combine data into single activation map

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3D Spiral transition-band SSFP at 1.5T
1 x 1 x 2 mm3, 3D spiral, standard head coil
Courtesy Jongho Lee, Stanford University
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3D EPI tbSSFP at 3T
0.8 x 0.8 x 0.8 mm3 0.5 mm3 TR35 ms, 8.3
s/vol, 24 minutes scan time
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3D EPI tbSSFP FMRI at 7T
0.75 x 0.75 x 0.75 mm3 0.4 mm3 22 minutes scan
time
Collaboration with Chris Wiggins, MGH
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Physiological noise transition-band SSFP
Compared to GRE, higher physiological noise in
tbSSFP Poor fit with standard physiological noise
model
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Reducing physiological noise in SSFP
Respiration modulates frequency shift in SSFP
bands Real-time feedback to compensate for
frequency drift
Jongho Lee et al, MRM 2006
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Dynamic frequency tracking
compensation off
compensation on
Jongho Lee et al, MRM 2006
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Passband SSFP vs. GRE (3T)
GRE
pbSSFP
TE 3 ms
TE 25 ms
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Physiological noise passband SSFP
Short TR (6-12 ms)
Compared to GRE, lower physiological noise in
pbSSFP
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Conclusions

• Why 3D for high-resolution FMRI?
• High-res ? multi-shot ? short TR ? 3D
• Lower distortion with short, 3D readouts
• Can achieve isotropic resolution (thin slices)
• Challenges and advances
• Efficient 3D versions of both EPI and spiral
  trajectories
• Volume acquisition times Speed up with partial
  k-space (or parallel imaging)
• SSFP FMRI
• New method for FMRI contrast
• Highly suitable to 3D due to short TR

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Acknowledgements

• Martinos Centre, MGH
• Christopher Wiggins
• Graham Wiggins
• Itamar Kahn

Funding NIH, GlaxoSmithKline, EPSRC, Royal
Academy of Engineering
Related work 357 SSFP analysis (Th-AM), 272
SSFP modeling (Th-PM)