| Deletions are marked like this. | Additions are marked like this. |
| Line 4: | Line 4: |
| This page describes mri_pglands_seg, a deep learning tool within FreeSurfer to automatically segment the pituitary and pineal glands in a T1-weighted image. Specifically, the pipeline target four structures: the anterior pituitary, posterior pituitary, infundibulum, and pineal gland. | |
| Line 5: | Line 6: |
| This page describes mri_pglands_seg, a deep learning tool within FreeSurfer to automatically segment the pituitary and pineal glands in a T1-weighted image. Specifically, the pipeline target four structures: the anterior pituitary, posterior pituitary, infundibulum, and pineal gland. |
The package requires installation of FreeSurfer version 8.1 or later. Those using this toolbox should cite: [[https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.70384 | Automated Segmentation of the Pituitary and Pineal Glands. Larson, KL, Augustinack, JC, Mora, J, Shahzade, D, Rapalino, O, Fischl, B, Greve, DN. Human Brain Mapping 46, no. 15: e70384. 10.1002/hbm.70384. https://doi.org/10.1002/hbm.70384.]] [[https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70384 | PDF available here.]] |
Contents
Introduction
This page describes mri_pglands_seg, a deep learning tool within FreeSurfer to automatically segment the pituitary and pineal glands in a T1-weighted image. Specifically, the pipeline target four structures: the anterior pituitary, posterior pituitary, infundibulum, and pineal gland.
The package requires installation of FreeSurfer version 8.1 or later.
Those using this toolbox should cite: Automated Segmentation of the Pituitary and Pineal Glands. Larson, KL, Augustinack, JC, Mora, J, Shahzade, D, Rapalino, O, Fischl, B, Greve, DN. Human Brain Mapping 46, no. 15: e70384. 10.1002/hbm.70384. https://doi.org/10.1002/hbm.70384. PDF available here.