rrsg2020 / data_submission

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MREL at University of Southern California #18

Closed namgyunlee closed 4 years ago

namgyunlee commented 4 years ago

Name: MREL at University of Southern California (https://mrel.usc.edu/)

**Number of datasets (sets of inversion recovery measurements): 6 phantom datasets acquired at two different days, two different GE scanners, and two different TRs.

  1. Day 1, MR1, TR= 2500 msec
  2. Day 1, MR2, TR= 2500 msec
  3. Day 2, MR1, TR= 2500 msec
  4. Day 2, MR1, TR=10000 msec
  5. Day 2, MR2, TR= 2500 msec
  6. Day 2, MR2, TR=10000 msec

Submission Checklist:

When your data is ready for review, please comment in your issue and email a link to a Google Drive folder (or other online data sharing service) containing your data to: rrsg.challenge@gmail.com.

namgyunlee commented 4 years ago

Dear Mathieu,

I have sent an email containing a link to each dataset. We are missing the serial number at this moment because the NIST phantom was borrowed from UCLA. We will contact them and find it out soon.

On behalf of the MREL at USC (Director: Krishna S. Nayak) Yannick Bliesener Ecem Bozkurt Sreedevi Gutta Kubra Keskin Nam Lee Bochao Li Yongwan Lim Erum Mushtaq Ye Tian Xitong Wang Ziwei Zhao Zhibo Zhu

mathieuboudreau commented 4 years ago

Hi @namgyunlee!

Thanks for submitting your dataset! Your data was uploaded to the RRSG/qMRSG OSF.io repo: https://osf.io/jwfep/

Do you know what's the serial number of the phantom you used? The reason why this information is needed is because the T1 values of serial numbers above or equal to 0042 are different from those for serial numbers below 0042 for your phantom version (130).

I fit two of your datasets with the demo scripts and it processed fine

Day 2 - MRI1 - TR = 2550 ms

Pipeline output:

Capture d’écran 2020-03-06 à 21 28 56

Run it here:

Binder

Day 2 - MRI1 - TR = 10 000 ms

Pipeline output:

Capture d’écran 2020-03-06 à 21 29 07

Run it here:

Binder

The only thing missing from your submission to be complete is the serial number of your phantom, for the reason described above.

To do

mathieuboudreau commented 4 years ago

Hey @namgyunlee !

Thanks for emailing an additional human dataset (6 subjects).

I've uploaded them to OSF.io here: https://osf.io/yu872/

I tried the demo pipeline on one of your subjects and it fit fine:

Human dataset (subject01)

Pipeline output:

Capture d’écran 2020-03-08 à 21 48 24

Run it here:

Binder

mathieuboudreau commented 4 years ago

The NIST dataset hosted on osf.io has been updated with the serial numbers in the configuration file. Thanks @namgyunlee !