Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Catch localizers/Phantoms based on Image Orientation #1

Open
sinhaharsh opened this issue Jul 20, 2022 · 0 comments
Open

Catch localizers/Phantoms based on Image Orientation #1

sinhaharsh opened this issue Jul 20, 2022 · 0 comments

Comments

@sinhaharsh
Copy link
Collaborator

  • MRdataset version: 0.0.1
  • Python version:
  • Operating System:

Description

Currently the code uses Series Description to identify localizers, aahead_scout, and acr/phantom. Can we use Image Orientation information to identify localizers similar to dcm2niix?

Reference

https://github.com/rordenlab/dcm2niix/blob/23d087566a22edd4f50e4afe829143cb8f6e6720/console/nii_dicom_batch.cpp#L6854
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@sinhaharsh