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Transcript of Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook:...
![Page 1: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/1.jpg)
Statistical Parametric MappingStatistical Parametric Mapping
Lecture 11 - Chapter 13
Head motion and correction
Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul Matthews, and Stephen Smith
Many thanks to those that share their MRI slides online
![Page 2: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/2.jpg)
http://www.fmrib.ox.ac.uk/fsl/
![Page 3: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/3.jpg)
Head motion correction by MCFLIRT
• FSL software for Motion Correction using FMRIB’s Linear Image Registration Tool - FLIRT.
![Page 4: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/4.jpg)
![Page 5: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/5.jpg)
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![Page 6: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/6.jpg)
4x4 Affine transform matrix used with 3-D images
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m14, m24, and m34 are x, y, and z translations
3 each rotations, scales, shears
Let R represent (x, y, z) column vectors and M the 4x4 transform matrixR’ = M R when you want to calculate primed location from unprimed oneR = M-1 R’ when you want to calculate unprimed location from primed one
![Page 7: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/7.jpg)
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1 0 0 Tx
0 1 0 Ty
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4x4 translation matrix T (3 parameters)
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0 cos(φx ) −sin(φx ) 0
0 sin(φx ) cos(φx ) 0
0 0 0 1
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4x4 scale matrix S (3 parameters)
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0 Sy 0 0
0 0 Sz 0
0 0 0 1
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cos(φy ) 0 −sin(φy ) 0
0 1 0 0
sin(φy ) 0 cos(φy ) 0
0 0 0 1
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cos(φz) −sin(φz) 0 0
sin(φz) cos(φz) 0 0
0 0 1 0
0 0 0 1
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rotation matrix Rx for rotation about x-axis (1 parameter)
rotation matrix Ry for rotation about y-axis (1 parameter)
rotation matrix Rz for rotation about z-axis (1 parameter)
M= [S][Rx][Ry][Rz][T]
Order of matrices important. Above ordering does translations first to match origins, then rotations about new origin, and finally scaling of the aligned image. For MC of fMRI no scale, i.e. use only 3 translation and 3 rotation parameters.
![Page 8: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/8.jpg)
![Page 9: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/9.jpg)
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Mango provides these three interpolation options when saving an image with transform applied.
Nearest neighbor leads to similar image histograms in transformed images but least accurate in terms of interpolation values. Sinc interpolation is considered to be the most accurate. Trilinear is intermediate in quality but relatively fast.
![Page 11: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/11.jpg)
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Motion Correction
Same Modality
![Page 14: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/14.jpg)
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Talariach's Coordinate System
• AC-PC line• AC as origin• Bounding Box
– 136 x 172 x 118 mm
• Right-handed system
Z = +1 mm
Origin(AC)
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Averages of Anatomy & Function
Average MRI - 16 Subjects( 3-D Gradient Echo )
Average PET - 15 Subjects( FDG )
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Fitted AC-PC LineFitted AC-PC Line
CCCC TNTN SCSC CBCB
Manual SN with High-Resolution MRI
Mango has a plugin for fitting high resolution MRI to the Talairach standard.Mango has a plugin for fitting high resolution MRI to the Talairach standard.
![Page 21: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/21.jpg)
PET
SPECT MRI
CT
Multi-modality registration to a standard brain space (i.e. a particular brain atlas).
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Using FLIRT to fit a T1W MR image to the MNI305 3-D average brain template (template brain feature outline indicated by red lines).
Note the large rotation about the y-axis indicated in the left image.
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Atlas Based Registration of fMRI
MNI152 structural brain template is average of 152 3-D T1W images after affine registration.
MNI152structuralEPI
M1 M2
M= [M2][M1]
What is a 7 DOF transform?All three scales are identical to correct for possible differences in spatial calibrations.
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Global (affine) vs. Regional (warping) to target Global (affine) vs. Regional (warping) to target brainbrain
4x4 affine transform registration to target brain
High degree of freedom warp to register to target brain (~2x105 deformation vectors)
Target Brain
This could be stage 2 in fMRI alignment to atlas.
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R’ = MR
For 6 DOFs M includes rotations about x, y, and z axes and translations along x, y, and z.
Total motion is calculated from distance = {(x’-x)2+ (y’-y)2 +(z’-z)2}1/2 calculated for each voxel within the brain.
1 2
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Figure 13.1. Motion correction in a finger tapping experiment. Fig 1a (left) shows the motion component ( z translation) exhibiting the strongest stimulus-correlated motion. The experimental “on” periods are shown at the bottom of the figure. Fig 1b (right) shows a set of superior axial images with no correction (top row), after realignment to template only (middle row) and following full correction including z-motion in regression analysis ( bottom row).
Full correction models signal loss due to movement.
![Page 30: Statistical Parametric Mapping Lecture 11 - Chapter 13 Head motion and correction Textbook: Functional MRI an introduction to methods, Peter Jezzard, Paul.](https://reader036.fdocuments.in/reader036/viewer/2022062322/5697bf861a28abf838c881b5/html5/thumbnails/30.jpg)
Figure 13.2. Motion correction in a visual stimulation experiment. Fig 2a (left) shows the motion component ( z translation) exhibiting the strongest stimulus-correlated motion. The experimental “on” periods are shown at the bottom. Fig 2b (right) shows a set of superior axial images with no correction (top row), after realignment only (middle row) and following full correction( bottom row)
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Figure 13.3. Two slices from a group activation map ( n=6) in schizophrenic patients before ( upper row) and after (lower row) group correction for subject motion.
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No MC
MC
visual
visual
auditory
auditory
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http://www.fmrib.ox.ac.uk/fsl/