Projects:RegistrationLibrary:RegLib C14

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Slicer Registration Use Case Exampe #14: Intra-subject Brain PET-MRI with MRI orientation adjustment

		100px|lleft|this is the moving image. The transform is calculated by matching this to the reference image	LEGEND this indicates the reference image that is fixed and does not move. All other images are aligned into this space and resolution this indicates the moving image that determines the registration transform.
whole body CT baseline		whole body CT follow-up
MRI: 512 x 512 x 267 0.97 x 0.97 x 3.27 mm		PET: 168 x 168 x 195 4.1 x 4.1 x 5 mm

Objective / Background

Image fusion.

Keywords

PET-MRI, brain, intra-subject, image fusion

Input Data

• reference/fixed : baseline MRI: 0.97 x 0.97 x 3.27 mm , PET: 4.7 x 4.7 x 3.3 mm
• moving: PET: 4.1 x 4.1 x 5 mm

Registration Results

• 

  Original unregistered CT images.

Download

• download full tutorial set (Data+intermediate results+presets+tutorial, zip file ?? MB)
• download example data set (Data only, zip file 135 MB)
• download step-by-step tutorial (PowerPoint 2 MB)
• download registration parameter presets only (zip file with MRML scene files ?? kB)

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

Discussion: Registration Challenges

• the original DICOM files of the MRI have image orientation data stripped. Hence the volume does not load in correct orientation and needs to be adjusted
• the two series have different voxel sizes
• image content is very different in the PET

Discussion: Key Strategies

• we use the Volumes module to adjust the MRI voxel size based on the info in the DICOM header
• we use the Transforms module to reorient the MRI along the proper axes
• Register Images is used to automatically align the PET with the MRI