Difference between revisions of "Projects:RegistrationLibrary:RegLib C09"

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[[Projects:RegistrationDocumentation:UseCaseInventory|Back to Registration Use-case Inventory]] <br>
 
[[Projects:RegistrationDocumentation:UseCaseInventory|Back to Registration Use-case Inventory]] <br>
  
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==Slicer Registration Library Exampe #9: Functional MRI aligned with structural reference MRI==
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== <small>v3.6.3</small> [[Image:Slicer3-6Announcement-v1.png‎|150px]] Slicer Registration Library Case 09: Functional MRI aligned with structural reference MRI ==
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[[Image:under-construction_icon.jpg|left|100px|this case is still under active development. Comments and priority requests welcome to the slicer-users mailing list]]
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=== Input ===
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{| style="color:#bbbbbb; " cellpadding="10" cellspacing="0" border="0"
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{| style="color:#bbbbbb; background-color:#333333;" cellpadding="10" cellspacing="0" border="0"
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|[[Image:RegLib_C09_Thumb1.png|150px|lleft|this is the fixed T1 reference image.]]  
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|[[Image:RegLib C09 fMRI1.png|150px|lleft|this is the fixed reference image. All images are aligned into this space]]  
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|[[Image:RegArrow_NonRigid.png|100px|lleft]]  
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|[[Image:Arrow_left_gray.jpg|100px|lleft]]  
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|[[Image:RegLib_C09_Thumb2.png|150px|left|this is the fMRI baseline image, to be registered to the T1]]
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|[[Image:RegLib C09 fMRI2.png|150px|lleft|this is the moving image. The transform is calculated by matching this to the reference image]]
 
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|align="left"|LEGEND<br>
 
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<small><small>
 
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[[Image:Button_red_fixed.jpg|20px|lleft]]  this indicates the reference image that is fixed and does not move. All other images are aligned into this space and resolution<br>
 
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[[Image:Button_green_moving.jpg|20px|lleft]]  this indicates the moving image that determines the registration transform.  <br>
 
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</small></small>
 
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|-
 
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|[[Image:Button_red_fixed.jpg|40px|lleft]]  T1 structural reference
 
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|
 
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|[[Image:Button_green_moving.jpg|40px|lleft]] fMRI 4D volume
 
 
|-
 
|-
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|0.5 x 0.5 x 1.0 mm axial <br> 512 x 512 x 176<br>RAS
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|Target Anatomical Ref.  
 
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|
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|1.8 x 1.8 x 4 mm <br> axial oblique<br> 128 x 128 x 19 x 125 timepoints <br>RAS
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|fMRI
 
|}
 
|}
  
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=== Modules ===
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*'''Slicer 3.6.1 recommended modules:  [http://www.slicer.org/slicerWiki/index.php/Modules:BRAINSFit BrainsFit]'''
  
 
===Objective / Background ===
 
===Objective / Background ===
 
This is a typical example of fMRI pre-processing. Goal is to align the fMRI image with a structural scan that provides accuracte anatomical reference. The fMRI contains acquisition-related distortion and low contrast to discern much anatomical detail. We also have pathology (stroke) with variable contrast across different MRI protocols.
 
This is a typical example of fMRI pre-processing. Goal is to align the fMRI image with a structural scan that provides accuracte anatomical reference. The fMRI contains acquisition-related distortion and low contrast to discern much anatomical detail. We also have pathology (stroke) with variable contrast across different MRI protocols.
 +
 
=== Keywords ===
 
=== Keywords ===
 
MRI, brain, head, intra-subject, fMRI
 
MRI, brain, head, intra-subject, fMRI
  
 
===Input Data===
 
===Input Data===
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*[[Image:Button_red_fixed_white.jpg|20px]]reference/fixed : T1
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*reference/fixed : T1 0.5 x 0.5 x 1 mm , 512 x 512 x 176
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*[[Image:Button_green_moving_white.jpg|20px]] moving: fMRI sequence of motor task (right hand clench)  
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*moving: fMRI sequence of motor task (right hand clench) 2 x 2 x 4 mm, 128 x 128 x 19
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=== Registration Results===
 
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===Download ===
 
===Download ===
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*'''[[Media:RegLib_09_fMRI_full.zip‎|download entire package <small> (Data,Presets,Tutorial, Solution, zip file 39 MB) </small>]]'''  
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*'''[[Media:RegLib_C09_Data.zip‎|download example data <small> (Data,Presets, Solution, zip file 60 MB) </small>]]'''  
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*Presets
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*'''[[Media:RegLib_C09_Presets.mrml‎|download parameter preset file  <small> ( MRML file 12 kB) </small>]]'''
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*Tutorial only
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:[[Projects:RegistrationDocumentation:ParameterPresetsTutorial|Link to User Guide: How to Load/Save Registration Parameter Presets]]
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*Image Data only
 
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[[Projects:RegistrationDocumentation:ParameterPresetsTutorial|Link to User Guide: How to Load/Save Registration Parameter Presets]]
 
  
 
=== Discussion: Registration Challenges ===
 
=== Discussion: Registration Challenges ===
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=== Discussion: Key Strategies ===
 
=== Discussion: Key Strategies ===
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*masking is likely necessary to obtain good results.
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*this example manages to lock onto the target w/o masking, despite the FOV clipping. For similar cases it is likely that masking of the brain in both images may be necessary to obtain a good match.  
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*in this example the initial alignment of the two scans is not excessive.  
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*a good rigid alignment is important before proceeding to non-rigid alignment to further correct for distortions. Affine is not recommended w/o masking, because the FOV differences would incur large scaling distortions.
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*because speed is not that critical, we increase the sampling rate from the default 2% to 15%.
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*The nonrigid portion should be constrained to a max. deformation, e.g. 3mm
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*we also expect larger differences in scale & distortion than with regular structural scane: so we significantly  (2x-3x) increase the expected values for scale and skew from the defaults.  
 
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*a good affine alignment is important before proceeding to non-rigid alignment to further correct for distortions.
 
  
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=== Acknowledgments ===
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=== Methods ===
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*place SPGR in background and fMRI in foreground. Review initial misalignment.
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*if there is little or no initial overlap, go to the [http://www.slicer.org/slicerWiki/index.php/Modules:Volumes-Documentation-3.6 Volumes module], select the ''Info'' tab and click the ''Volume'' button. Repeat for both images. This should roughly center the volumes in the same physical space. Alternatively, when loading the data, consider checking the box for "Centered'' in the "Open File" dialog
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*'''Phase 1: BRAINSfit rigid w/o masking'''
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#open the Registration / [http://www.slicer.org/slicerWiki/index.php/Modules:BRAINSFit BRAINSfit module]
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##Select Preset "Xf0_Rigid" or set the parameters as shown below:
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##fixed image: SPGR;  moving image: fMRI
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##Registration phases:
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###Initialize check: useGeometryAlign;  check: Rigid
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##Output: under ''Slicer BSpline Transform'', select "create new" and rename to "Xf3_BFit_unmasked"
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##Output: under ''Output Image Volume'', select "create new" and rename to "moving_Xf3"ed'' checkbox
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##Output Image Pixel Type: check box for "short"
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##Registration Parameters: increase ''Number of Samples'' to 200,000
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##Number of Grid Subdivisions: 5,5,5
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##leave rest at defaults
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##click: ''Apply''
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*'''Version 2: Expert Automated + Fast BSpline Modules incl. masking'''
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#build brain mask for the fixed image only:
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##open '''Skull Stripping''' module.
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##Settings:  100 iterations, 20 subdivisions.
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##Ouput: create new volum, rename to  "fixed_mask"
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##Click: ''Apply''
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##manually edit brain mask with '''Editor''' module. required manual fix at frontal and occipital lobe
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#open ''Expert Automated Registration'' module
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##Settings: Fixed Image: fixed, moving image: moving
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##Save Transform: ''Xf1_Affine_wmsk''
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##Initialization: Centers of Mass, Registration: PipelineAffine
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##Expected offset: 10 ,  Expected Rotation: 0.2
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##Expected Scale: 0.1 ,  Expected Skew: 0.05
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##Fixed Image Mask:  "fixed_mask"
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##Affine Max Iteration: 80  ,  Affine Sampling Ratio: 0.05
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#(alternatively automated Affine Registration:  '''Register Images Multires''' also produces good results
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# run '''Fast Deformable B-spline Registration''' module. Settings:
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##Iterations: 20 , Grid Size: 9
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##fixed image: fixed;  moving image: moving
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##Histogram Bins: 50,  Spatial Samples: 50000
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## initial transform:  "Xf1_Affine_wmsk"
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##Output Transform: Xf2_BSpline1
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##Output Volume: create new, rename to "moving_Xf2"
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=== Registration Results===
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[[Image:RegLib_C10_unreg_AnimGif.gif|300px|unregistered]] unregistered 
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[[Image:RegLib_C10_BSpline_AnimGif.gif|300px|after BSpline non-rigid registration]] afterAffine+ fast BSpline non-rigid registration<br><br>
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[[Image:RegLib_C10_BFit_AGif.gif‎|400px|after BRAINSfit affine+ non-rigid registration]] after BRAINSfit affine+ non-rigid registration<br>

Revision as of 20:00, 26 August 2011

Home < Projects:RegistrationLibrary:RegLib C09

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v3.6.3 Slicer3-6Announcement-v1.png Slicer Registration Library Case 09: Functional MRI aligned with structural reference MRI

Input

this is the fixed T1 reference image. lleft
this is the fMRI baseline image, to be registered to the T1
Target Anatomical Ref. fMRI

Modules

Objective / Background

This is a typical example of fMRI pre-processing. Goal is to align the fMRI image with a structural scan that provides accuracte anatomical reference. The fMRI contains acquisition-related distortion and low contrast to discern much anatomical detail. We also have pathology (stroke) with variable contrast across different MRI protocols.

Keywords

MRI, brain, head, intra-subject, fMRI

Input Data

  • reference/fixed : T1 0.5 x 0.5 x 1 mm , 512 x 512 x 176
  • moving: fMRI sequence of motor task (right hand clench) 2 x 2 x 4 mm, 128 x 128 x 19

Download

Link to User Guide: How to Load/Save Registration Parameter Presets

Discussion: Registration Challenges

  • the fMRI contains acquisition-related distortions that can make automated registration difficult.
  • the fMRI contains low tissue contrast, making automated intensity-based registration difficult.
  • the two images often have strong differences in voxel sizes and voxel anisotropy. If the orientation of the highest resolution is not the same in both images, finding a good match can be difficult.
  • there may be widespread and extensive pathology (e.g stroke, tumor) that might affect the registration if its contrast is different in the baseline and structural reference scan

Discussion: Key Strategies

  • this example manages to lock onto the target w/o masking, despite the FOV clipping. For similar cases it is likely that masking of the brain in both images may be necessary to obtain a good match.
  • a good rigid alignment is important before proceeding to non-rigid alignment to further correct for distortions. Affine is not recommended w/o masking, because the FOV differences would incur large scaling distortions.
  • The nonrigid portion should be constrained to a max. deformation, e.g. 3mm

Methods

  • place SPGR in background and fMRI in foreground. Review initial misalignment.
  • if there is little or no initial overlap, go to the Volumes module, select the Info tab and click the Volume button. Repeat for both images. This should roughly center the volumes in the same physical space. Alternatively, when loading the data, consider checking the box for "Centered in the "Open File" dialog
  • Phase 1: BRAINSfit rigid w/o masking
  1. open the Registration / BRAINSfit module
    1. Select Preset "Xf0_Rigid" or set the parameters as shown below:
    2. fixed image: SPGR; moving image: fMRI
    3. Registration phases:
      1. Initialize check: useGeometryAlign; check: Rigid
    4. Output: under Slicer BSpline Transform, select "create new" and rename to "Xf3_BFit_unmasked"
    5. Output: under Output Image Volume, select "create new" and rename to "moving_Xf3"ed checkbox
    6. Output Image Pixel Type: check box for "short"
    7. Registration Parameters: increase Number of Samples to 200,000
    8. Number of Grid Subdivisions: 5,5,5
    9. leave rest at defaults
    10. click: Apply
  • Version 2: Expert Automated + Fast BSpline Modules incl. masking
  1. build brain mask for the fixed image only:
    1. open Skull Stripping module.
    2. Settings: 100 iterations, 20 subdivisions.
    3. Ouput: create new volum, rename to "fixed_mask"
    4. Click: Apply
    5. manually edit brain mask with Editor module. required manual fix at frontal and occipital lobe
  2. open Expert Automated Registration module
    1. Settings: Fixed Image: fixed, moving image: moving
    2. Save Transform: Xf1_Affine_wmsk
    3. Initialization: Centers of Mass, Registration: PipelineAffine
    4. Expected offset: 10 , Expected Rotation: 0.2
    5. Expected Scale: 0.1 , Expected Skew: 0.05
    6. Fixed Image Mask: "fixed_mask"
    7. Affine Max Iteration: 80 , Affine Sampling Ratio: 0.05
  3. (alternatively automated Affine Registration: Register Images Multires also produces good results
  4. run Fast Deformable B-spline Registration module. Settings:
    1. Iterations: 20 , Grid Size: 9
    2. fixed image: fixed; moving image: moving
    3. Histogram Bins: 50, Spatial Samples: 50000
    4. initial transform: "Xf1_Affine_wmsk"
    5. Output Transform: Xf2_BSpline1
    6. Output Volume: create new, rename to "moving_Xf2"

Registration Results

unregistered unregistered after BSpline non-rigid registration afterAffine+ fast BSpline non-rigid registration

after BRAINSfit affine+ non-rigid registration after BRAINSfit affine+ non-rigid registration

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