spine-generic / data-multi-subject

Multi-subject data for the Spine Generic project
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Brain voxels are erased by defacing or out of FOV #115

Closed mbondy023 closed 2 years ago

mbondy023 commented 2 years ago

We were interested in obtaining brain volumes of subjects in spine-generic/data-multi-subject and came across scans with either defacing or FOV issues.

First, the majority of subjects have defacing that extends past the cortex. Erasure occurs in their anterior frontal lobe, anterior temporal lobe, or both. The amount of erasure varies as well, which I have classified in the following categories:

The table below describes the number of scans with each issue and a figure for reference: Screen Shot 2022-01-27 at 2 17 34 PM

image

Second, some brain were partially out of the FOV during data acquisition. I assume this issue can't be fixed but I thought it was worth noting. Here is a table and figure for reference: Screen Shot 2022-01-27 at 2 23 32 PM

image

Thanks!

jcohenadad commented 2 years ago

@mbondy023 thank you very much for reporting this critical issue. Indeed, at the beginning of the project we were mostly focusing on the spinal cord and somewhat "neglected" the brain, especially how the defacing algorithm affected it.

We still have access to some of the non-defaced data, but not all of them. @alexfoias can you please update us?

renelabounek commented 2 years ago

@jcohenadad and @alexfoias just a short comment. Monica, Igor and I were discussing that it could be worth to try to contact at least contributors of the 24 T1 images with large erasures, please them to re-deface the images and update the database. + If you have some non-defaced scans, it is perfect partial fix too.

jcohenadad commented 2 years ago

@renelabounek great idea. Let's see what we have first (much of the defacing was done by us).

alexfoias commented 2 years ago

@jcohenadad @renelabounek I will start comparing what original data we have. I will open a PR with the possible fix.

alexfoias commented 2 years ago

I have found an initial version of the dataset non defaced. I will start pushing corrected defaced images.

renelabounek commented 2 years ago

@alexfoias, would it help if @mbondy023 shares list of identified subjects with defacing issues? Or would you need some other help from our site?

alexfoias commented 2 years ago

@renelabounek yes, I think a list would be helpful.

mbondy023 commented 2 years ago

@alexfoias Here is a list with the 204 subjects who have only defacing issues. It's not 206 like mentioned above because I took off 2 subjects who have their brains out of the FOV as well. DefacingList.xlsx

renelabounek commented 2 years ago

T1w RE-DEFACE list:

renelabounek commented 2 years ago

@alexfoias, I should be able to re-deface cmrra and cmrrb datasets. I do not think you have these data without defacing.

kousu commented 2 years ago

@mbondy023, to work around you not being a formal member of this project, please copy-paste this into a comment below. Then you should be able to check off your work as you complete it.

You can click the 'copy' button that appears in the right corner:

2022-03-11-115326_653x191_scrot

# T1w RE-DEFACE list:
- [x] sub-amu01
- [x] sub-amu02
- [x] sub-amu03
- [x] sub-amu04
- [x] sub-amu05
- [x] sub-balgrist01
- [x] sub-balgrist02
- [x] sub-balgrist03
- [x] sub-balgrist04
- [x] sub-balgrist06
- [ ] sub-beijingVerio01
- [ ] sub-beijingVerio02
- [ ] sub-beijingVerio04
- [x] sub-brnoCeitec01
- [x] sub-brnoCeitec02
- [x] sub-brnoCeitec03
- [ ] sub-brnoCeitec05
- [ ] sub-brnoCeitec06
- [ ] sub-brnoUhb01
- [ ] sub-brnoUhb02
- [ ] sub-brnoUhb03
- [ ] sub-brnoUhb04
- [ ] sub-brnoUhb05
- [ ] sub-brnoUhb06
- [ ] sub-brnoUhb07
- [ ] sub-brnoUhb08
- [ ] sub-cardiff01
- [ ] sub-cardiff02
- [ ] sub-cardiff03
- [ ] sub-cardiff05
- [ ] sub-cardiff06
- [ ] sub-cmrra01
- [ ] sub-cmrra02
- [ ] sub-cmrra03
- [ ] sub-cmrra04
- [ ] sub-cmrra05
- [ ] sub-cmrra06
- [ ] sub-cmrrb01
- [ ] sub-cmrrb02
- [ ] sub-cmrrb03
- [ ] sub-cmrrb04
- [ ] sub-cmrrb06
- [ ] sub-cmrrb07
- [ ] sub-dresden02
- [ ] sub-fslAchieva02
- [ ] sub-fslAchieva03
- [ ] sub-fslAchieva04
- [ ] sub-fslAchieva05
- [ ] sub-fslAchieva06
- [ ] sub-fslPrisma01
- [ ] sub-fslPrisma02
- [ ] sub-fslPrisma03
- [ ] sub-fslPrisma06
- [ ] sub-geneva01
- [ ] sub-geneva03
- [ ] sub-geneva04
- [ ] sub-geneva05
- [ ] sub-geneva06
- [ ] sub-hamburg01
- [ ] sub-hamburg02
- [ ] sub-hamburg03
- [ ] sub-hamburg04
- [ ] sub-hamburg05
- [ ] sub-hamburg06
- [ ] sub-juntendo750w01
- [ ] sub-juntendo750w02
- [ ] sub-juntendo750w03
- [ ] sub-juntendo750w04
- [ ] sub-juntendo750w05
- [ ] sub-juntendo750w06
- [ ] sub-mgh04
- [ ] sub-mgh05
- [ ] sub-mgh06
- [ ] sub-milan05
- [ ] sub-milan06
- [ ] sub-milan07
- [ ] sub-mniPilot1
- [ ] sub-mniS01
- [ ] sub-mniS02
- [ ] sub-mniS03
- [ ] sub-mniS05
- [ ] sub-mniS06
- [ ] sub-mniS08
- [ ] sub-mountSinai01
- [ ] sub-mountSinai02
- [ ] sub-mountSinai03
- [ ] sub-mountSinai04
- [ ] sub-mountSinai05
- [ ] sub-mountSinai06
- [ ] sub-mpicbs02
- [ ] sub-mpicbs03
- [ ] sub-mpicbs05
- [ ] sub-mpicbs06
- [ ] sub-mpicbs07
- [ ] sub-nottwil01
- [ ] sub-nottwil02
- [ ] sub-nottwil03
- [ ] sub-nottwil04
- [ ] sub-nottwil05
- [ ] sub-nottwil06
- [ ] sub-nwu02
- [ ] sub-nwu03
- [ ] sub-nwu04
- [ ] sub-nwu05
- [ ] sub-nwu06
- [ ] sub-oxfordFmrib01
- [ ] sub-oxfordFmrib02
- [ ] sub-oxfordFmrib03
- [ ] sub-oxfordFmrib04
- [ ] sub-oxfordFmrib05
- [ ] sub-oxfordFmrib06
- [ ] sub-oxfordFmrib08
- [ ] sub-oxfordFmrib09
- [ ] sub-oxfordFmrib10
- [ ] sub-oxfordFmrib11
- [ ] sub-oxfordOhba01
- [ ] sub-oxfordOhba02
- [ ] sub-oxfordOhba04
- [ ] sub-oxfordOhba05
- [ ] sub-pavia01
- [ ] sub-pavia02
- [ ] sub-pavia03
- [ ] sub-pavia04
- [ ] sub-pavia05
- [ ] sub-pavia06
- [ ] sub-perform01
- [ ] sub-perform02
- [ ] sub-perform03
- [ ] sub-perform04
- [ ] sub-perform05
- [ ] sub-perform06
- [ ] sub-queensland01
- [ ] sub-queensland02
- [ ] sub-queensland03
- [ ] sub-queensland05
- [ ] sub-queensland06
- [ ] sub-sherbrooke01
- [ ] sub-sherbrooke04
- [ ] sub-sherbrooke05
- [ ] sub-sherbrooke06
- [ ] sub-sherbrooke07
- [ ] sub-stanford01
- [ ] sub-stanford02
- [ ] sub-stanford03
- [ ] sub-stanford04
- [ ] sub-stanford05
- [ ] sub-stanford06
- [ ] sub-strasbourg02
- [ ] sub-strasbourg03
- [ ] sub-strasbourg05
- [ ] sub-strasbourg06
- [ ] sub-tehranS03
- [ ] sub-tehranS04
- [ ] sub-tehranS05
- [ ] sub-tehranS06
- [ ] sub-tokyo750w01
- [ ] sub-tokyo750w02
- [ ] sub-tokyo750w03
- [ ] sub-tokyo750w04
- [ ] sub-tokyo750w05
- [ ] sub-tokyo750w07
- [ ] sub-tokyoIngenia01
- [ ] sub-tokyoIngenia02
- [ ] sub-tokyoIngenia03
- [ ] sub-tokyoIngenia04
- [ ] sub-tokyoIngenia05
- [ ] sub-tokyoIngenia06
- [ ] sub-tokyoIngenia07
- [ ] sub-tokyoSkyra01
- [ ] sub-tokyoSkyra03
- [ ] sub-tokyoSkyra04
- [ ] sub-tokyoSkyra05
- [ ] sub-tokyoSkyra06
- [ ] sub-tokyoSkyra07
- [ ] sub-ubc01
- [ ] sub-ubc02
- [ ] sub-ubc03
- [ ] sub-ubc04
- [ ] sub-ubc05
- [ ] sub-ubc06
- [ ] sub-ucdavis01
- [ ] sub-ucdavis02
- [ ] sub-ucdavis04
- [ ] sub-ucdavis06
- [ ] sub-unf01
- [ ] sub-unf02
- [ ] sub-unf03
- [ ] sub-unf04
- [ ] sub-unf06
- [ ] sub-unf07
- [ ] sub-vallHebron01
- [ ] sub-vallHebron02
- [ ] sub-vallHebron03
- [ ] sub-vallHebron04
- [ ] sub-vallHebron06
- [ ] sub-vallHebron07
- [ ] sub-vuiisAchieva02
- [ ] sub-vuiisAchieva03
- [ ] sub-vuiisAchieva06
- [ ] sub-vuiisIngenia01
- [ ] sub-vuiisIngenia02
- [ ] sub-vuiisIngenia04
- [ ] sub-vuiisIngenia05
- [ ] sub-vuiisIngenia06
mbondy023 commented 2 years ago

Thanks @kousu for the help. I've looked over all the scans and updated the list. There are about 70 scans that still have poor defacing, but most have been fixed.

Importantly, sub-geneva04 was not defaced at all, so that would need to be fixed quickly.

Edit: Apologies, I missed adding sub-vuiisIngenia03 in our inital list. It also needs to be defaced.

T1w RE-DEFACE list:

alexfoias commented 2 years ago

@mbondy023 thanks for the heads up about sub-geneva04. I have fixed it in https://github.com/spine-generic/data-multi-subject/pull/119/commits/8797ed2009253a7d6f6a89c6bd1925e5515b8a66