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satishev avatar satishev commented on July 20, 2024

Looping in @Amir-Reza-Sadri

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Amir-Reza-Sadri avatar Amir-Reza-Sadri commented on July 20, 2024

Hello,

It should be working, can you share some of your data with me: [email protected]

Thanks.

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fotaras-github avatar fotaras-github commented on July 20, 2024

Hello,

It should be working, can you share some of your data with me: [email protected]

Thanks.

@Amir-Reza-Sadri Done!

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cammu00 avatar cammu00 commented on July 20, 2024

Hi Amir,
I got a same error for 4D dataset (fMRI, DTI). How to input my dataset or where could I change in codes?

Thanks!

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Amir-Reza-Sadri avatar Amir-Reza-Sadri commented on July 20, 2024

Please use the code QC4d.py instead of QC.py with the same settings for 4D data.
Here are the considerations for this version:

  1. Assuming the volumetric 4D data is in the form of x × y × z × w, w is the fourth dimension (let's say the time). Right now, you can run the MRQy for a fixed time volume of the data. Depending on the time sequence of your data, you can specify the desired time at line #147 of the QC4d.py script (default value: time_dim=5).
  2. If you want to compare other dimensions of your data in terms of quality metrics, feel free to replace the arguments in line #150.
    Some important things:
  3. Make sure your data files have different names or id.
  4. Make sure your volumetric inputs have the same size.
  5. Make sure you have at least 6 input data.
    Let me know if this works.
    Thanks.

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fotaras-github avatar fotaras-github commented on July 20, 2024

Please use the code QC4d.py instead of QC.py with the same settings for 4D data. Here are the considerations for this version:

  1. Assuming the volumetric 4D data is in the form of x × y × z × w, w is the fourth dimension (let's say the time). Right now, you can run the MRQy for a fixed time volume of the data. Depending on the time sequence of your data, you can specify the desired time at line #147 of the QC4d.py script (default value: time_dim=5).
  2. If you want to compare other dimensions of your data in terms of quality metrics, feel free to replace the arguments in line #150.
    Some important things:
  3. Make sure your data files have different names or id.
  4. Make sure your volumetric inputs have the same size.
  5. Make sure you have at least 6 input data.
    Let me know if this works.
    Thanks.

Thank you for the update Amir.

With the default time_dim=5, QC4d.py works on datasets with the following dimensions: [64x64x36x200]. But what is time_dim exactly? Time, in seconds/milliseconds, required for each volume? That's the part unclear to me.

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Amir-Reza-Sadri avatar Amir-Reza-Sadri commented on July 20, 2024

It is the desired time that you want to run the QC over. This way, the tool focuses/compares all scans in a single time-origin.

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