Projects:RegistrationLibrary:RegLib C26

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Slicer Registration Library Exampe #26: Fusion of WM parcellation atlas with anatomic brain atlas

Objective / Background

This is an example of inter-subject registration. The structures of interest are WM parcellations from the JHU-MNI atlas (see acknowledgments).

Keywords

MRI, brain, head, inter-subject, atlas to atlas, WM parcellation

Input Data

• moving: b0 image of JHU_MNI white matter atlas. Called A2_gray
• tag: WM parcellation labelmap A2_label

Download

• download SPL atlas (MRI T1+T2, labelmaps , colormap file with label names), zip file 126 MB)
• download JHU-MNI "Eve" Atlas (MRI T1+T2, 3 labelmaps with WM parcellation, 3 LUT text files with label names), zip file55 MB)

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

Discussion: Registration Challenges

• the two atlases represent different anatomies and hence some residual misalignment is inevitable
• the two labelmaps have different resolutions and different smoothness of structure outlines. Some need filtering to remove spurious surface details that would distract the registration algorithm

Acknowledgments

• dataset obtained from MRI studio with permission from the Johns Hopkins University School of Medicine, Department of Radiology Center for Brain Imaging Science. Our thanks to Drs. Susumo Mori, Kenichi Oishi and Andreia Faria .

• For details please see:
  • Mori S., Oishi K., Jiang H, Jiang L., Li X., Akhter K., Hua K., Faria AV., Mahmod A., Woods R., Toga WA., Pike B, Rosa Neto P, Evans A, Zhang J, Huang H, Miller MI, van Zijl, PCM, Mazziotta, J, "Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template", NeuroImage, 40, 570-582(2008)
  • Oishi K, Zilles K, Amunts K, Faria A, Jiang H, Li X, Akhter K, Hua K, Woods R, Toga AW, Pike GB, Posa-Neto P, Evans A, Zhang J, Huang H, Mikker MI, van Zijl PCM, Mazziotta J, Mori S, "Human brain white matter atlas: identification and assignment of common anatomical structures in superficial white matter", NeuroImage, 43, 447-457 (2008)
  • Oishi K, Faria A, Jiang H, Li X, Akhter K, Zhang J, Hsu J, Miller MI, van Zijl PCM, Albert M, Lyketsos CG, Woods R, Toga AW, Pike GB, Rosa-Neto P, Evans A, Mazziotta J, *Mori S, *"Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimers' disease participants", NeuroImage, 46, 486-499 (2009)

"We are pleased to make our white matter atlas available. The JHU-MNI-ss atlas, which is often called 
 "Eve Atlas", is based on a single-subject data as described in Oishi et al, 2009. There are co-registered 
 T1 (MPRAGE), T2, and DTI images as well as white matter parcellation map (WMPM). Once the image of 
 interest is normalized to this atlas coordinate, the WMPM (which also includes gray matter structures) 
 can be superimposed for anatomical definition (e.g. which structure is affected by a lesion or where 
 exactly is the fMRI activation site) or automated segmentation. 
 All images have 181x217x181 / 1x1x1 mm dimensions."