= Resection identification =
''Authors: Chinmay Chinara, Anand Joshi''

This tutorial describes how to delineate resection volume from a post-op MRI using the module [[https://github.com/ajoshiusc/auto_resection_mask/tree/brainstorm-plugin|resection-identification]] that has been integrated as a Brainstorm [[https://neuroimage.usc.edu/brainstorm/Tutorials/Plugins|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 [[http://neuroimage.usc.edu/brainstorm/Tutorials#Get_started|Brainstorm introduction tutorials]].

__'''NOT FOR CLINICAL USE'''__:<<BR>>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.

<<TableOfContents(2,2)>>

== Introduction ==

== 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 [[https://neuroimage.usc.edu/brainstorm/Tutorials|Brainstorm introduction tutorials]] and are comfortable with its interface and basic functionalities.
 * '''Download the dataset''':

=== Files in dataset ===

== Resection identification ==