Resection identification

Authors: Chinmay Chinara, Anand Joshi

This tutorial describes how to delineate resection volume from a post-op MRI using the module resection-identification that has been integrated as a Brainstorm plugin

Please note that this tutorial is intended for users already familiar with Brainstorm. It does not provide detailed explanations of the software's interface or theoretical foundations.For comprehensive introductory material, refer to the Brainstorm introduction tutorials.

NOT FOR CLINICAL USE:
The methods and software implementations presented in this tutorial have not been certified as medical devices. They are intended for research purposes only and should not be used for clinical decision-making.

Download and installation

• Prerequisites:

  • Brainstorm Installation: Ensure you have a working copy of Brainstorm installed on your computer.

  • Familiarity with Brainstorm: This tutorial assumes that you have completed all the Brainstorm introduction tutorials and are comfortable with its interface and basic functionalities.

• Download the dataset:

  • Go to the Brainstorm Download page

  • Download the file: tutorial_resection_identification.zip.

  • Unzip it into a folder that is not located in any Brainstorm directories (i.e., not in the Brainstorm program folder or database folder).

Files in dataset

tutorial_resection_identification/

• anatomy/: Anatomy data

  • preop.nii.gz : Raw pre-op MRI (in NIfTI-1 format),

  • postop.nii.gz: Raw post-op MRI (in NIfTI-1 format)

Import the anatomy

• Start Brainstorm.

• Select the menu: File > Create new protocol. Name it TutorialResectionIdentification and select the options:
  "No, use individual anatomy",
  "No, use one channel file per acquisition run".

Pre-op MRI

• Go to the Anatomy view

• Right click on top node TutorialResectionIdentification > New subject > Subject01.
  Keep the default options you defined for the protocol.

• Right-click on the subject node > Import MRI:
  Set the file format: "MRI: NIfTI-1 (*.nii;*.nii.gz)"
  Select: tutorial_resection_identification/anatomy/preop.nii.gz

• Click on "Click here to compute MNI normalization", option "maff8". It computes a linear transformation between the subject space and the MNI ICBM152 space.
  
  

• Click on Save to close the MRI viewer.

Post-op MRI

• The pre-op MRI will be used as the anatomical reference for this subject. We will now import a second scan done after surgery, on which we can see the resected region.

• Right-click on the subject node > Import MRI:
  Select: tutorial_resection_identification/anatomy/preop.nii.gz

• How to register the new volume? Ignore
  No need to co-register them here as the resection identification pipeline will give the coregistered post- to pre-op MRI that will be imported here. See the section Volume coregistration for more details on this option.

• Reslice the volume? Yes
  This will rewrite the volume with the orientation and resolution of the pre-op MRI, so that the two volumes can be overlaid in the MRI viewer.
  
  

• The MRI viewer opens automatically, showing the post-op volume as a colored layer on top of the previous volume.

Resection identification

• Right click on the postop_reslice MRI > MRI segmentation > Resection identification.
  
  

• The resection identification process executes, and after its completion, the following get generated:

  • preop_resection_mask : The post-op MRI resection mask warped in the pre-op MRI space.

  • postop_resection_mask: The post-op MRI resection mask.

  • preop_resection: The surface rendering of preop_resection_mask.

  • postop_resection: The surface rendering of postop_resection_mask.

  • postop_coreg_preop: The post-op MRI coregistered non-linearly to the pre-op MRI.
    
    

• The preop_resection_mask (left) and the preop_resection surface (right) overlaid on the postop_coreg_preop MRI volume, each showing the resection can be seen below.
  
  

• Instead of using the GUI, you can use the Process tab to perform resection identification.

  • Click on Process1 > RUN.

  • Click on Import > Import anatomy > Resection identification.
    
    

  • Set the Subject name: Subject01 and post-op MRI name: postop_reslice. Click Run. The process will run and after completion generates the same volumes and surfaces as above.