Differences between revisions 2 and 3
Deletions are marked like this. Additions are marked like this.
Line 2: Line 2:
'''''This functionality will be available soon-ish''''' '''''This functionality is available on development versions newer than October 26th 2023 '''''
Line 14: Line 14:
If you use this atlas in your analysis, please cite:
 * [[https://some-arxiv-link.org|Next-Generation histological atlas for high-resolution segmentation of human brain MRI]]. A Casamitjana et al., some journal, some number, some pages (some year).
The manuscript describing this module is still in preparation:
Line 25: Line 24:
blah blah This module uses our new probabilistic atlas of the human brain to segment 333 distinct ROIs per hemisphere on in vivo scans. Segmentation relies on a Bayesian algorithm and is thus robust against changes in MRIi pulse sequence (e.g., T1-weighted, T2-weighted, FLAIR, etc). Sample slices of the atlas and the segmentation of the sample subject "bert" are shown below:
<<BR>> {{attachment:example.png||height="320"}} <<BR>>

=== 2. Installation ===
The first time you run this module, it will prompt you to download the atlas. Follow the instructions on the screen to obtain the files.
Line 27: Line 30:
=== 2. Installation ===
The first time you run this module, it may prompt you to install some packages; simply follow the instructions in the screen (please install the CPU version, if given the option).
<<BR>>
Line 31: Line 32:
blah blah mri_histo_atlas_segment

Bayesian Segmentation with Histological Atlas

This functionality is available on development versions newer than October 26th 2023


Author: Juan Eugenio Iglesias
E-mail: jiglesiasgonzalez [at] mgh.harvard.edu

Rather than directly contacting the author, please post your questions on this module to the FreeSurfer mailing list at freesurfer [at] nmr.mgh.harvard.edu

The manuscript describing this module is still in preparation:

Contents

  1. General Description
  2. Installation
  3. Usage
  4. Frequently asked questions (FAQ)


1. General Description

This module uses our new probabilistic atlas of the human brain to segment 333 distinct ROIs per hemisphere on in vivo scans. Segmentation relies on a Bayesian algorithm and is thus robust against changes in MRIi pulse sequence (e.g., T1-weighted, T2-weighted, FLAIR, etc). Sample slices of the atlas and the segmentation of the sample subject "bert" are shown below:

2. Installation

The first time you run this module, it will prompt you to download the atlas. Follow the instructions on the screen to obtain the files.

3. Usage

mri_histo_atlas_segment


4. Frequently asked questions (FAQ)

blah blah

HistoAtlasSegmentation (last edited 2024-02-16 19:00:01 by JuanIglesias)