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Susceptibility Weighted Imaging (SWI)

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Title: Susceptibility Weighted Imaging (SWI)


1
Susceptibility Weighted Imaging (SWI)
2
Susceptibility Weighted Imaging?
  • SWI is a magnetic resonance (MR) technique that
    utilizes the magnetic susceptibility differences
  • Illuminate small vessels and veins in the brain
  • Sensitive to iron calcification

Haacke, Mark, et. al. Magnetic Resonance in
Medicine 52612618 (2004)
3
SWI Introduction
  • Acquisition T2-weighted sequence to enhance
    the visibility of susceptibility differences.
  • High-resolution 3D gradient-echo (with flow
    compensation)
  • Long TE (40ms at 1.5T, 25ms at 3T) to get T2
    weighting
  • Extra post processing using the phase image.

Magnitude
Phase
4
History of SWI
  • Reichenbach, Haacke et al. 1997
  • MR venography or BOLD venographic imaging
  • From 1997 2003
  • Lots of clinical papers
  • Haacke et al. 2004
  • Susceptibility Weighted Imaging
  • Caution Sometimes the term susceptibility
    weighted imaging is used loosely!

5
Major Clinical Applications for SWI
  • Stroke
  • Brain Tumors
  • Traumatic Brain Injury
  • Vascular Malformations
  • Neurodegenerative Diseases

6
Stroke
Nathaniel D. Wycliffe, JMRI 20372377 (2004)
7
Stroke
minIP SWI vs. CT
Thomas, Bejoy, et. al. Neuroradiology (2008) v50
8
Brain Tumors
CE T1 weighted vs. SWI
Sehgal, Vivek, et. al. Journal of Magnetic
Resonance Imaging (2005) v22
9
Traumatic Brain Injury
GRE Image vs. SWI postprocessing
Thomas, Bejoy, et. al. Neuroradiology (2008) v50
10
Vascular Malformations
Routine GRE vs. minIP SWI
Thomas, Bejoy, et. al. Neuroradiology (2008)
50108
11
Neurodegenerative Diseases

SWI minIP vs. SWI phase image
Thomas, Bejoy, et. al. Neuroradiology (2008) v50
12
Post-processing Steps to a Susceptibility
Weighted Image
Background comes later!
13
Brief Overview of Steps
  1. Generate a high frequency phase image
  2. Construct a normalized phase mask
  3. Enhance the magnitude image with the phase mask
    to get the SWI
  4. Optional produce a minimum intensity projection
    to produce a SWI minIP

3T
14
1) Generate high frequency phase image
  • Use a 2D Hanning filter (in k-space) to smooth
    the original image
  • Divide the original image by the smoothed image
  • A phase unwrapped image
  • An image with high frequency phase information

Phasemap of original Image Phasemap of hanning
filtered image
High pass phase Image
15
2) Phase Mask
  • A phase mask is produced as follows
  • - If phase gt0, then the resulting phase
    mask value 1
  • - If phase lt 0, then the mask value is found
    by (ph(x) pi)/pi
  • The resulting normalized phase mask (ranging from
    0 to 1).

High pass data
Normalized phase mask
16
3) Enhance Magnitude Image
  • Multiply the phase mask by the magnitude image
    (phase mask can be multiplied 3- 8 times)

SWI Processed Image
Phase mask.5
X Orig. Magnitude
X
17
Enhanced magnitude comparison
Original image
SWI image
18
4) Minimum Intensity Projection
  • A minIP, further enhances the contrast of
    susceptibilities in the final SWI image
  • A minIP usually done over 5 to 10 slices

SWI processed image
Final minIP
19
More detail
20
Modeling the susceptibility effects in venous
system
Difference fields for an infinitely extended
circular cylinder
  • Venous imaging based on the magnetic
    susceptibility difference between oxygenated and
    deoxygenated hemoglobin
  • Papers describing this
  • Reichenbach Haacke, NMR Biomedicine 41453
    (2001)
  • Springer, NMR in Physiology and Biomedicine 1994
    75
  • Vessel to B0 intravascular frequency shift
  • Vessel _ to B0 intravascular AND extravascular
    frequency shift
  • SEE NOTES on WORD DOC!

21
Graph the result
Signal dependence on venous blood volume fraction
(?) and TE
  • Since the local magnetic field in and around
    blood depends on venous blood volume fraction
    (?), TE can be adjusted to reveal large signal
    cancellation
  • Signal cancellation
  • TE 40ms (1.5T), TE 25ms (3T) used to get
    maximum signal cancellation without phase
    aliasing
  • But theres more we can use the phase
    information...

22
Phase image can be used to further enhance signal
cancellation effects.
  • Referring back to the result for TE 50ms
  • ? -? when ? 0º ( to B0)
  • -? lt ? lt 0 for 0º lt ? lt 54º
  • A negative phase mask filter can be created
  • 0 lt ? lt ? phase mask filter 1
  • -? lt ? lt 0 phase mask filter linearly scaled
    between 0 and 1
  • But! What about vessel orientations ? gt 54º
  • For 54º lt ? lt 90º, the phase ? gt 0
  • Therefore, negative phase mask will miss part of
    venous vascular information

23
Negative Positive phase masks
  • Complicated phase behaviour
  • Can use triangular phase mask
  • But result in fat vessels and blurring of veins
    gt negative phase mask used.

Reichenbach Haacke NMR in Biomedicine, 14453
(2001)
24
Exposing SWI
25
SWI at 1.5T
2
4
reference
Different phase mask orders
6
8
26
SWI at 3T
2
4
reference
Different phase mask orders
6
8
27
Final comparison at 3T
reference
SWI image
28
SWI minIP at different field strengths
1.5T
3T
7T
29
Acquisition of SWI
  • Current Method
  • 3D Gradient-Echo imaging
  • (3D GRE)
  • Long scan time (32 partitions takes 7 min.)
  • Future Method?
  • 3D multi-shot EPI

30
3D EPI
  • 3D EPI has more k-space coverage per TR gt faster
    scan time (2 min v 7 min) and/or higher SNR.
  • Disadvantages - geometric distortion (?
    1/shots)
  • - signal dropout

GRE
EPI
31
Multi-shot EPI
32
Practical things
  • Careful with your flip angle/TR, and no
    rfspoiling!

1.5T TE40ms
? 30º
? 20º
33
  • Conclusion
  • SWI has promising applications in the clinics
    (probably just a good compliment to other
    techniques)
  • Good delineation of venous network and some
    tissue pathologies
  • Ability to image tumors without contrast agent
  • Demonstrates vascular nature of a lesion
  • Etc..
  • Performs better with higher field strength
  • A bit ambiguous?
  • Disadvantage long scan times
  • Advantage we can get abstracts by speeding it up

34
Acknowledgements Matus Straka, Karley Marty,
Stefan Skare, Roland Bammer
Thank You!! Questions?
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