-
Notifications
You must be signed in to change notification settings - Fork 11
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
Calculation of T2 maps #6
Comments
Hi! I am finally back to full internet connection - thanks for your patience! To calculate relaxometry maps (T2 or T1rho) you should use only To calculate the relaxometry maps with pyKNEEr you need specific image sequences. To calculate:
What kind of images are you using? |
Hi Serena, We am currently using T2 images and trying to get optimal T1rho images to work with as well. We are starting a new Knee project and we have a Siemens Vida in house with these sequences. We do not have T1rho. • T2, you need a DESS acquisition, which contains 2 images acquired in the same acquisition any feedback would be appreciated! thanks! |
Hi, I am not familiar about your image acquisition protocols, so I unfortunately cannot give you much of a feedback. But here are some information related to what I used, so maybe you can find similarities and differences with your protocols:
Hope this can be of help! |
Hi Serena,
Im using my own set of images and am in the relaxometry step. Right now i only had one data set of the studies, so im not sure if the 3D map i got is accurate. I used the following files in my image_list_relaxometry_EP.txt file:
./preprocessed
./segmented
i1 01_S1T2_orig.mha
i2 01_S1T2_prep.mha
cm 01_S1T2_prep_fc.mha
The text was updated successfully, but these errors were encountered: