1. 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

2. 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.

3. 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

4. Methods SEGMENTATION Editor „thresholding” Erode Save Island Dilate
Remove Island
save labelmap
Filter-Arithmetic- Mask Image
save Masked Volumen ( nii.gz)

5. Methods REGISTRATION . T1 T1 brain segmentation FA T1 brain O.V. O.V.
Template
O.V.1

6. BrainLoc (1.4 version) Axial Coronal Sagittal Open image Select image
Select atlas
Axial
ROIs
Coronal
Sagittal

7. BrainLoc
(1.4 version) .

8. 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.

9. 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

10. THANK YOU FOR YOUR ATTENTION!