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.

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

Implement Jacobian attenuation in the target space #382

Closed
effigies opened this issue Jul 14, 2023 · 0 comments · Fixed by #391
Closed

Implement Jacobian attenuation in the target space #382

effigies opened this issue Jul 14, 2023 · 0 comments · Fixed by #391
Labels
enhancement New feature or request

Comments

@effigies
Copy link
Member

effigies commented Jul 14, 2023

What would you like to see added in this software?

SDCFlows should provide a method to generate a Jacobian weight image to multiply unwarped images by.

Like the fieldmap estimate, the Jacobian should be sampled into the target space, so that it is a simple post-resampling multiplication.

To reduce copies and compounding floating-point error (for example, if we resample as float64 and save as float32), ideally our resampler would also accept a Jacobian and multiply before writing to disk.

Do you have any interest in helping implement the feature?

Yes

Additional information / screenshots

No response

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

Successfully merging a pull request may close this issue.

1 participant