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Published byArnold Eliassen Modified over 5 years ago
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Brain Registration and Multipurpose Postprocessing
Béres M., Spisák T., Emri M., Jakab A., Berényi E. University of Debrecen Medical and Health Science Center Department of Biomedical Laboratory and Imaging Sciences Hungary
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Introduction Registration- Registration algorithms bring multiple image data sets into spatial alignment, in order to achieve anatomical agreement. We used FAST AFFINE REGISTRATION MODULE The Fast Affine Registration Module performs fast automated affine registration (i.e. 12 DOF, includes scaling and shearing) using a mutual information criterion. What was the purpose? The aim of this study was to investigate how fused ‘registered’ MR images ( FA ,T1 to brain templates )- transform to BrainLoc software and how they are analysed in brain atlases.
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Methods Imaging protocol T1 DTI FA
We used Template (avg. 152 T1 brain) normalised and registered to the Brain Atlases T segmented brain T1 brain FA T1 brain O.V. O.V Template O.V.1
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Methods SEGMENTATION Editor „thresholding” Erode Save Island Dilate
Remove Island save labelmap Filter-Arithmetic- Mask Image save Masked Volumen ( nii.gz)
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Methods REGISTRATION . T1 T1 brain segmentation FA T1 brain O.V. O.V.
Template O.V.1
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BrainLoc (1.4 version) Axial Coronal Sagittal Open image Select image
Select atlas Axial ROIs Coronal Sagittal
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BrainLoc (1.4 version) .
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CONCLUSION We have applied the fast affine registration method successfully. (I tried to refine on this mechanism with fast nonrigid Bspline registration, but totally pushed away the picture) We controlled the registration, it can be used in BrainLoc, because the software works with probability atlases where I can select the threshold. This process was proved to be good, so I could use it for quantifying the side differences . They allow anatomical labeling of the results of group studies in stereotaxic space, automated anatomical labeling of individual brain imaging datasets, and the statistical assessment of normal ranges for structure volumes and extents.
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OTHER registration methods
FA FMRIB 58 FA template FSL – FNIRT, FLIRT Slicer –Fast affin registration, BRAINSFit T MNI 152 T1 template Output volumen 1, Output transform 1 FA FMRIB 58 FA template Output volumen 2, Output transform 2 Output volume Output volume Output volume 3 ( registration methods - linear or nonlinear) INVERT Output transform 1
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THANK YOU FOR YOUR ATTENTION!
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