Common Artifacts in MRI - National Institutes of Health...2015/06/19 · Common Artifacts in MRI...
Transcript of Common Artifacts in MRI - National Institutes of Health...2015/06/19 · Common Artifacts in MRI...
Common Artifacts in MRI
Vinai Roopchansingh
Functional MRI Facility, National Institute of Mental Health, National Institutes of Health,
Bethesda, MD, USA
June 19, 2015
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 1 / 30
Outline
1 Hardware artifacts, i.e. B0, B1, etc.
2 Reconstruction artifacts
3 Patient/sample artifacts
4 Misc. / grab-bag
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Outline
1 Hardware artifacts, i.e. B0, B1, etc.
2 Reconstruction artifacts
3 Patient/sample artifacts
4 Misc. / grab-bag
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Hardware imperfections
Distortions usually come from B0 or gradient issues.
Image shading/intensity problems usually come from B1 issues.
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Hardware imperfections
Distortions usually come from B0 or gradient issues.
Image shading/intensity problems usually come from B1 issues.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 4 / 30
Hardware imperfections
Distortions usually come from B0 or gradient issues.
Image shading/intensity problems usually come from B1 issues.
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Distortion issues
Larmor equation ⇒
ω0 = γB0
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 5 / 30
Distortion issues
Larmor equation ⇒
ω0 = γB0
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Distortion issues
Larmor equation ⇒
ω0 = γB0
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Geometric distortion - Extreme example
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Geometric distortion - Extreme example
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Geometric distortion - Extreme example
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More common, less extreme, distortion examples
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More common, less extreme, distortion examples
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 7 / 30
More common, less extreme, distortion examples
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 7 / 30
More common, less extreme, distortion examples
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 7 / 30
More common, less extreme, distortion examples
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 7 / 30
More common, less extreme, distortion examples
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 7 / 30
More common, less extreme, distortion examples
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 7 / 30
Even more subtle distortion issues
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Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Even more subtle distortion issues
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 8 / 30
Very exotic, very troublesome, distortion issue
Data provided by J. Sarlls
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 9 / 30
Very exotic, very troublesome, distortion issue
Data provided by J. Sarlls
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 9 / 30
Very exotic, very troublesome, distortion issue
Data provided by J. Sarlls
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 9 / 30
Very exotic, very troublesome, distortion issue
Data provided by J. Sarlls
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 9 / 30
Very exotic, very troublesome, distortion issue
Data provided by J. Sarlls
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 9 / 30
Issues with image intensity, shading, noise
Problems with image intensity variation, noise, etc
⇒ problems along the RF chain
⇒ limitations imposed by physics (geometry, sensitivity).
e.g. RF Coils, RF amplifiers, etc.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 10 / 30
Issues with image intensity, shading, noise
Problems with image intensity variation, noise, etc
⇒ problems along the RF chain
⇒ limitations imposed by physics (geometry, sensitivity).
e.g. RF Coils, RF amplifiers, etc.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 10 / 30
Issues with image intensity, shading, noise
Problems with image intensity variation, noise, etc
⇒ problems along the RF chain
⇒ limitations imposed by physics (geometry, sensitivity).
e.g. RF Coils, RF amplifiers, etc.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 10 / 30
Issues with image intensity, shading, noise
Problems with image intensity variation, noise, etc
⇒ problems along the RF chain
⇒ limitations imposed by physics (geometry, sensitivity).
e.g. RF Coils, RF amplifiers, etc.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 10 / 30
Failing hardware - single-channel coil
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Failing hardware - single-channel coil
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Failing hardware - single-channel coil
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 11 / 30
Failing hardware - multi-channel array coils
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Failing hardware - multi-channel array coils
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Coil Sensitivity
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Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 13 / 30
Coil Sensitivity
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Dielectric Effects / a.k.a. B1 Inhomogeneities
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Dielectric Effects / a.k.a. B1 Inhomogeneities
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Dielectric Effects / a.k.a. B1 Inhomogeneities
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Outline
1 Hardware artifacts, i.e. B0, B1, etc.
2 Reconstruction artifacts
3 Patient/sample artifacts
4 Misc. / grab-bag
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Accelerated Reconstruction artifacts
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Accelerated Reconstruction artifacts
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Accelerated Reconstruction artifacts
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Accelerated Reconstruction artifacts
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 16 / 30
Accelerated Reconstruction artifacts
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Error combining data
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Error combining data
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Error combining data
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 17 / 30
Outline
1 Hardware artifacts, i.e. B0, B1, etc.
2 Reconstruction artifacts
3 Patient/sample artifacts
4 Misc. / grab-bag
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 18 / 30
Patient/sample artifacts
Probably hardest class of artifacts to deal with.
Ethical responsibility toward your patients, volunteers,
and animals.
Experimental validity - not supposed to change the
state of the thing you are measuring.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 19 / 30
Patient/sample artifacts
Probably hardest class of artifacts to deal with.
Ethical responsibility toward your patients, volunteers,
and animals.
Experimental validity - not supposed to change the
state of the thing you are measuring.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 19 / 30
Patient/sample artifacts
Probably hardest class of artifacts to deal with.
Ethical responsibility toward your patients, volunteers,
and animals.
Experimental validity - not supposed to change the
state of the thing you are measuring.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 19 / 30
Patient/sample artifacts
Probably hardest class of artifacts to deal with.
Ethical responsibility toward your patients, volunteers,
and animals.
Experimental validity - not supposed to change the
state of the thing you are measuring.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 19 / 30
B0 uniformity
Basic premise of MRI - VERY uniform magnetic field,
distorted in a controlled fashion to provide spatial
information.
⇒ Have to revise this assumption when imaging.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 20 / 30
B0 uniformity
Basic premise of MRI - VERY uniform magnetic field,
distorted in a controlled fashion to provide spatial
information.
⇒ Have to revise this assumption when imaging.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 20 / 30
B0 uniformity
Basic premise of MRI - VERY uniform magnetic field,
distorted in a controlled fashion to provide spatial
information.
⇒ Have to revise this assumption when imaging.
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B0 uniformity in the human brain
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B0 uniformity in the human brain
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B0 uniformity in the human brain
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 21 / 30
B0 uniformity in the human brain
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B0 uniformity in the human brain
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 21 / 30
B0 uniformity in the human brain
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Different tissue types, namely fat
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Different tissue types, namely fat
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Different tissue types, namely fat
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 22 / 30
Physiology
van Gelderen: Magnetic Resonance In Medicine (57:2), 362-368, Feb 2007.
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Physiology
van Gelderen: Magnetic Resonance In Medicine (57:2), 362-368, Feb 2007.
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 23 / 30
Motion
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Motion
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Motion
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 24 / 30
Motion
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 24 / 30
Motion
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 24 / 30
Motion
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 24 / 30
Motion
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 24 / 30
Outline
1 Hardware artifacts, i.e. B0, B1, etc.
2 Reconstruction artifacts
3 Patient/sample artifacts
4 Misc. / grab-bag
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 25 / 30
EPI Nyquist Ghosting
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 26 / 30
EPI Nyquist Ghosting
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 26 / 30
EPI Nyquist Ghosting
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 26 / 30
Saturation effects
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 27 / 30
Saturation effects
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 27 / 30
Saturation effects
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 27 / 30
Saturation effects
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 27 / 30
Saturation effects
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 27 / 30
Pop-quiz
How to differentiate fat shift artifact from Nyquist ghost shift ?
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 28 / 30
Pop-quiz
How to differentiate fat shift artifact from Nyquist ghost shift ?
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 28 / 30
Pop-quiz
Vinai R. (FMRIF/NIMH/NIH/DHHS) MR Artifacts 2015.06.19 29 / 30
Acknowledgments
J. Sarlls (NMRF-NINDS)
R. M. Birn (MCW/FIM-NIMH/UW)
S. Wei and S. Kippenhan (SIN-NIMH)
J. Gonzalez-Castillo (FIM-NIMH)
D. Handwerker (FIM-NIMH)
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