Anatomical MRI:
[IntendedFor]:
[AnatomicalMRICoordinateSystem]:
[AnatomicalMRICoordinateUnits]:
[AnatomicalMRICoordinateSystemDescription]:
Anatomical landmarks:
[LandmarkCoordinates]:
[LandmarkCoordinateSystem]:
[LandmarkCoordinateUnits]:
[LandmarkCoordinateSystemDescription]:
Anatomical landmarks (useful for co-registration):
[LandmarkCoordinates]: Key:value pairs of any number of additional anatomical landmarks and their coordinates relative to the associated anatomical MRI, interpreted following the ‘LandmarkCoordinateSystem’ (e.g. {"AC": [127,119,149], "PC": [128,93,141], "IH": [131,114,206]}, or {"NAS": [127,213,139], "LPA": [52,113,96], "RPA": [202,113,91]})
[LandmarkCoordinateSystem]: this refers to how the coordinates of the landmarks are to be interpreted (e.g. “DICOM”, “Analyze”, “Talairach-Tournoux”, “MNI”, “NIfTI”, “freesurfer”, “Paxinos-Franklin”, “Allen Institute”, etc). See appendix (https://docs.google.com/document/d/1FWex_kSPWVh_f4rKgd5rxJmxlboAPtQlmBc1gyZlRZM/edit#heading=h.snhwsmgj62e1)
[LandmarkCoordinateUnits]: Units in which the coordinates that are listed in the field ‘LandmarkCoordinateSystem’ are represented, e.g. “m”, “cm”, “mm”.
[LandmarkCoordinateSystemDescription]: Freeform description of the coordinate system. May also include a link to a documentation page or paper describing the system in greater detail.
{'Structural1'{IntendedForLandmarkCoordinates
LandmarkCoordinateSystem
LandmarkCoordinateUnits
LandmarkCoordinateSystemDescription}'Structural2'{IntendedForLandmarkCoordinatesLandmarkCoordinateSystemLandmarkCoordinateUnitsLandmarkCoordinateSystemDescription}....}
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JBcheersHi,Just a quick thought: voxel unit means that the information will always have to be attached to the file, it may be that in some cases this information may need to be read independantly. As I am not sure we can escape the transformation headache in most cases, I wonder if mm wouldnt actually be better, since a nifti file will always give us the mm->vox transform.
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Sure, I understand that, the argument was that the can of worm will have to be opened anyway in most situations.For instance, let's say you are mainly working with surface based analyses in MEG/EEG in the MNI space, you probably want to be able to grab the landmark coordinates without having to read the t1 nifti header, open the can of worms, and get the mm.
JBHonestly, I am not strongly advocating for this, just some thoughts. Having to keep the link to the file also has the advantage of a (weak) provenance component, so that's also in favor of the voxel solution. In a BIDS context that's reasonable.cheers
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Usually, there are 3 anatomically-defined points (eg nasion and L+R pre-aricular) that are manually marked on the MRI, and digitised on the real head. The digitised points on the head are in the same space as other coils that can be detected by MEG, and therefore by minimising the distance between MRI and digitised landmarks, the MRI and MEG are coregistered. (Sometimes, superior coregistration is achieved by also digitising the scalp and fitting to the scalp surface automatically extracted from the MRI, which doesn’t need any landmarks for the MRI, but the fiducials are nearly always useful as well, if only for a measure of coregistration accuracy).
For this reason, this coregistration is nearly always done on the native MRI, rather than MNI-normalised.
I don’t have a strong view on whether the landmarks should be coded in mm or voxels (or both?)
Rik
---------------------------------------------------------------
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Best,
Chris
Best,
Chris
o [LandmarkCoordinates]: Key:value pairs of any number of additional anatomical landmarks and their coordinates relative to the associated anatomical MRI, interpreted following the ‘LandmarkCoordinateSystem’ (e.g. {"AC": [127,119,149], "PC": [128,93,141], "IH": [131,114,206]}, or {"NAS": [127,213,139], "LPA": [52,113,96], "RPA": [202,113,91]})
o [LandmarkCoordinateSystem]: this refers to how the coordinates of the landmarks are to be interpreted (e.g. “DICOM”, “Analyze”, “Talairach-Tournoux”, “MNI”, “NIfTI”, “freesurfer”, “Paxinos-Franklin”, “Allen Institute”, etc). See appendix (https://docs.google.com/document/d/1FWex_kSPWVh_f4rKgd5rxJmxlboAPtQlmBc1gyZlRZM/edit#heading=h.snhwsmgj62e1)
o [LandmarkCoordinateUnits]: Units in which the coordinates that are listed in the field ‘LandmarkCoordinateSystem’ are represented, e.g. “m”, “cm”, “mm”.
o [LandmarkCoordinateSystemDescription]: Freeform description of the coordinate system. May also include a link to a documentation page or paper describing the system in greater detail.
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Best,
Chris
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Best,
Chris
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On Feb 14, 2018, at 7:05 AM, Guiomar Niso <guioma...@ctb.upm.es> wrote:
Hi!
I'm not sure my last message reached the bids-discussion list. Just in case :)
Cheers,
Julia Guiomar Niso Galán, PhD
Montreal Neurological Institute, McGill UniversityMcConnell Brain Imaging Centre
2018-02-13 12:53 GMT+01:00 Guiomar Niso <guioma...@ctb.upm.es>:
Hi Dora and Chris,
Thanks for the feedback!
1) One of the coordinate system is "nifti" which provides little to no information about physical location. Each nifti file has a different origin and affine matrix making this system of little use (unless you are referring to a particular nifti file such as a T1w file, but then I would suggest renaming this system and clarifying the issue).
In MEG we almost always refer to the T1w because I the file we mainly use for scource reconstructuon, but we accept any suggestion. We introduced this table to have an starting point. To be honest I don't have much experience with coordinate systems, so I let the experts advice :)
2) Similarly "freesurfer" coordinate system makes only sense if linked to a particular freesurfer conformed file - unless one meant fsaverage.
I'm not sure here, any opinion?
3) MNI coordinate system should be clarified more. In https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit?ts=5a7ca46a#heading=h.mqkmyp254xh6 we specify a number of different MNI variants. I added this as a suggestion to the MEG spec.
Ok, we keep these suggestions.
4) Two of the listed coordinate systems are for mice - I think they got there by accident. I would leave them out for now and potentially bring them back in when we will get more feedback from animal experts.
Sounds good. Thanks!
5) Listing orientation is a little confusing, because it could mean orientation of voxel dimensions (how RAS/LAS is typically interpreted in context of MR) or physical dimension (how I believe this was ment to be interpreted).
Then we could just have a description field in the table (as it in in the BEP003).
6) I could not find any details of the brainstorm_mri coordinate system. This needs to be clarified more. It this a template?
We'll update this: more info can be found here: http://neuroimage.usc.edu/brainstorm/CoordinateSystems
7) I'm not sure why each coordinate system has assigned units when units are also specified in JSON files.
Ok. Let's remove it and just leave the description field in the table. I thought this units were generally associated with one particular type of coordinate system.
8) Finally I would suggest using camelcase naming to make this table more consistent with https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit?ts=5a7ca46a#heading=h.mqkmyp254xh6
Ok for CamelCase. Should we merge the two tables together? To me it would make sense, so we have things unified.
Cheers,
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Sylvain – the logic makes sense – but are the MRI BIDS experts happy to include a new *.json file coding the fiducial coordinates (or any anatomical landmarks) associated with an MRI image? The last discussion we had on this a few weeks ago concerned whether those coordinates refer to voxel space or world space; information that could presumably easily be included in the *.json. I attach an example – can we agree on this? We need to agree soon to make some progress.
Best,
Chris
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sub-01/ses-mri/anat/sub-01_ses-mri_acq-mprage_T1w.json file would have one extra field:"AnatomicalLandmarkCoordinates": { "Nasion": [4.3,119.2,8.300000000000001], "LPA": [75.3,24.6,31.9], "RPA": [81.2,20.6,33.5] }(with the note, which is my proposal, that coordinates are in voxel usints to avoid having to deal with sform/qform confusion)/
Best,
Chris
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Hi Dora and Chris,Thanks for the feedback!
1) One of the coordinate system is "nifti" which provides little to no information about physical location. Each nifti file has a different origin and affine matrix making this system of little use (unless you are referring to a particular nifti file such as a T1w file, but then I would suggest renaming this system and clarifying the issue).
In MEG we almost always refer to the T1w because I the file we mainly use for scource reconstructuon, but we accept any suggestion. We introduced this table to have an starting point. To be honest I don't have much experience with coordinate systems, so I let the experts advice :)
2) Similarly "freesurfer" coordinate system makes only sense if linked to a particular freesurfer conformed file - unless one meant fsaverage.
I'm not sure here, any opinion?
3) MNI coordinate system should be clarified more. In https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit?ts=5a7ca46a#heading=h.mqkmyp254xh6 we specify a number of different MNI variants. I added this as a suggestion to the MEG spec.
Ok, we keep these suggestions.
4) Two of the listed coordinate systems are for mice - I think they got there by accident. I would leave them out for now and potentially bring them back in when we will get more feedback from animal experts.Sounds good. Thanks!
5) Listing orientation is a little confusing, because it could mean orientation of voxel dimensions (how RAS/LAS is typically interpreted in context of MR) or physical dimension (how I believe this was ment to be interpreted).
Then we could just have a description field in the table (as it in in the BEP003).
6) I could not find any details of the brainstorm_mri coordinate system. This needs to be clarified more. It this a template?
We'll update this: more info can be found here: http://neuroimage.usc.edu/brainstorm/CoordinateSystems
7) I'm not sure why each coordinate system has assigned units when units are also specified in JSON files.
Ok. Let's remove it and just leave the description field in the table. I thought this units were generally associated with one particular type of coordinate system.
8) Finally I would suggest using camelcase naming to make this table more consistent with https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit?ts=5a7ca46a#heading=h.mqkmyp254xh6
Ok for CamelCase. Should we merge the two tables together? To me it would make sense, so we have things unified.
Cheers,
Julia Guiomar Niso Galán, PhD
Montreal Neurological Institute, McGill UniversityMcConnell Brain Imaging Centre
2018-02-08 23:58 GMT+01:00 Chris Gorgolewski <krzysztof.gorgolewski@gmail.com>:
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1) One of the coordinate system is "nifti" which provides little to no information about physical location. Each nifti file has a different origin and affine matrix making this system of little use (unless you are referring to a particular nifti file such as a T1w file, but then I would suggest renaming this system and clarifying the issue).
2) Similarly "freesurfer" coordinate system makes only sense if linked to a particular freesurfer conformed file - unless one meant fsaverage.
3) MNI coordinate system should be clarified more. In https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit?ts=5a7ca46a#heading=h.mqkmyp254xh6 we specify a number of different MNI variants. I added this as a suggestion to the MEG spec.
4) Two of the listed coordinate systems are for mice - I think they got there by accident. I would leave them out for now and potentially bring them back in when we will get more feedback from animal experts.
5) Listing orientation is a little confusing, because it could mean orientation of voxel dimensions (how RAS/LAS is typically interpreted in context of MR) or physical dimension (how I believe this was ment to be interpreted).
6) I could not find any details of the brainstorm_mri coordinate system. This needs to be clarified more. It this a template?
7) I'm not sure why each coordinate system has assigned units when units are also specified in JSON files.
8) Finally I would suggest using camelcase naming to make this table more consistent with https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit?ts=5a7ca46a#heading=h.mqkmyp254xh6
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No, sorry, I am more confused now than I was before! ;-)
The MRI coordinates of the fiducials are essential to provide with any MEG dataset, even if regarded as “derived”. Otherwise, MEG data cannot be localised. So in what JSON should we put them please?
R
---------------------------------------------------------------
Professor Richard Henson
Deputy Director
MRC Cognition and Brain Sciences Unit
University of Cambridge
15 Chaucer Road
Cambridge, CB2 7EF
England
EMAIL:
rik.h...@mrc-cbu.cam.ac.uk
URL: http://www.mrc-cbu.cam.ac.uk/people/rik.henson/personal
TEL +44 (0)1223 355 294 x501
FAX +44 (0)1223 359 062
MOB +44 (0)794 1377 345
---------------------------------------------------------------
From: Sylvain Baillet, Dr [mailto:sylvain...@mcgill.ca]
Sent: 16 February 2018 17:35
To: Chris Gorgolewski <krzysztof....@gmail.com>; Vladimir Litvak <v.li...@ucl.ac.uk>; Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>
Cc: bids-discussion <bids-di...@googlegroups.com>
Subject: Re: [bids-discussion] Corregistration between MEG and MRI
Chris, Rik and Vlad: thanks
PS I’m not sure what you mean by “produce of coregistration”? They are manually defined by the researcher, not produced by any automated coregistration algorithm.
PPS MEG-BIDS does allow a JPG to help a user see where the fiducials were on the head, but this is unlikely to be accurate enough for the user to reproduce the skills of the researcher in finding them on the MRI (and the user may not have software to help manually define on the MRI).
---------------------------------------------------------------
Professor Richard Henson
Deputy Director
MRC Cognition and Brain Sciences Unit
University of Cambridge
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From: Sylvain Baillet, Dr [mailto:sylvain...@mcgill.ca]
Sent: 16 February 2018 17:35
To: Chris Gorgolewski <krzysztof....@gmail.com>; Vladimir Litvak <v.li...@ucl.ac.uk>; Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>
Cc: bids-discussion <bids-di...@googlegroups.com>
Subject: Re: [bids-discussion] Corregistration between MEG and MRI
Chris, Rik and Vlad: thanks
PS I’m not sure what you mean by “produce of coregistration”? They are manually defined by the researcher, not produced by any automated coregistration algorithm.
PPS MEG-BIDS does allow a JPG to help a user see where the fiducials were on the head, but this is unlikely to be accurate enough for the user to reproduce the skills of the researcher in finding them on the MRI (and the user may not have software to help manually define on the MRI).
PS I’m not sure what you mean by “produce of coregistration”? They are manually defined by the researcher, not produced by any automated coregistration algorithm.
Correct: that’s why I think we may consider their MRI coordinates as the result of a processing step (manual or automatic realignment, both using software - note that the MEG-MRI registration is meant for source imaging, for which software that does registration is required)
Well, this becomes semantics – you could regard the MRI fiducial coordinates as raw data acquired by the researcher, or you could regard them as derived by the researcher at some later point – I don’t really mind, but…
PPS MEG-BIDS does allow a JPG to help a user see where the fiducials were on the head, but this is unlikely to be accurate enough for the user to reproduce the skills of the researcher in finding them on the MRI (and the user may not have software to help manually define on the MRI).
I was thinking the user could localize these fiducials in the MRI themselves - indeed the photos help, and agreed this would not be perfect. But I would be provocative by saying that even expert MRI localization would not be perfect.
Best approach would be to use the EEG electrodes or extra scalp points digitized at the session to automatically refine the realignment b/w MRI and MEG with software (Brainstorm and probably others do that).
….yes, most software packages use digitised headshape points (and EEG electrode locations when present) to improve coregistration. However, it is helpful to also have some fixed *anatomical* landmarks, eg to check on quality of coregistration by headshape (assuming minimal error in the manual definition of fiducials on MRI). For example, if the headshape points do not include nose and other non-smooth features, we often find that cranial headshape points can “slip” quite a lot over the “hemispherical” scalp, ie fit equally well after minor rotations.
Alternative would be to have another optional field in *_coordsystem.json for landmark coordinates (and only landmarks) expressed in an MRI coordinate system (but then we’re stuck again with the pb of defining an MRI coordinate system, which is I think something MRI BIDS should come up with so that we follow their recommendations).
I still think they are best in a JSON attached to the MRI file, because they are a property of the MRI, not the MEG (and to avoid mixing coordinate systems in the MEG JSON), but I don’t mind if it is easier to put in MEG JSON for the moment. However, we do need them somewhere in the example BIDS datasets, otherwise we’ll have one or more example analysis papers in the Frontiers Special Issue that get the fiducials from some other website, which is not ideal (since would illustrate limitations of MEG BIDS)?
sub-01/ses-mri/anat/sub-01_ses-mri_acq-mprage_T1w.json"AnatomicalLandmarkCoordinates": {"Nasion": [134,12,34],"LPA": [37,43,35],"RPA": [170, 67,33]}
Sounds great to me – if I create these new JSONs for T1s (with voxel indices), will it be uploadable to OpenNeuro – ie pass BIDS validators?
---------------------------------------------------------------
Prof Richard Henson
Ok – then that is a coincidence then, because we did not have any JSON files for T1s in the ds000117 dataset – so I created ones called:
sub-01/ses-mri/anat/sub-01_ses-mri_acq-mprage_T1w.json
I must have just been lucky enough to guess the correct BIDS name! Are there any other fields (metadata) that need to go into that JSON file (apart from fiducials) – I cannot find anything obligatory from skimming http://bids.neuroimaging.io/bids_spec1.0.0.pdf?
Anyway, I’ll create all these for the ds000117 dataset, but will not be able to upload to OpenNeuro until the MEG part of the BIDS validator has been updated (I sent full list of errors to Joe in a previous email).
R
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Sylvain.-
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cheers,
satra
Sylvain.-
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Sorry – I don’t understand why you would need new anatomical landmarks for each MEG session in the MRI JSON (apologies if I misunderstood Satra’s suggestion below). These landmarks are a property of the MRI image, not of the MEG data. They are *before* any coregistration of the MEG and MRI. (Note that their coordinates are likely to differ from the same landmarks that are digitized in the MEG JSON, for which there could be one JSON per MEG session to allow for different digitizations in different sessions). So I cannot see why there would need to be more than one set in the MRI JSON?
R
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Professor Richard Henson
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University of Cambridge
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From: Satrajit Ghosh [mailto:sa...@mit.edu]
Sent: 20 February 2018 23:22
To: bids-di...@googlegroups.com
Cc: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>; Vladimir Litvak <litvak....@gmail.com>; Mainak Jas <main...@gmail.com>; Guiomar Niso <guioma...@ctb.upm.es>; Elizabeth Anne Bock, Ms <elizabe...@mcgill.ca>; Francois Tadel, Mr <francoi...@mcgill.ca>;
Martin Pierre Cousineau, M <martin.p....@mcgill.ca>
Subject: Re: [bids-discussion] Corregistration between MEG and MRI
hi sylvain,
cheers,
satra
Sylvain.
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Ø Another thing I'm getting some doubts now, is that we have removed the anatomical landmark fields in the MEG JSON. Shouldn't we need to make them back, to have these points in the MEG Coordinate system and be able to make the correspondence with the MRI fields? or should all (both coils and landmarks) be stored there in HeadCoilds fields??
I’m sorry if I missed this, but I have been assuming that the same set of anatomical points (eg NAS, LPA, RPA) appear in both the MRI JSON and the MEG JSON. In the MRI JSON they are in MRI space (manually identified by an expert); in the MEG JSON, they are in the “MEG” space (ie same space as headpoints, coils, etc) (digitised during MEG experiment). Is that not currently the case?
Julia Guiomar Niso Galán, PhD
Montreal Neurological Institute, McGill University
McConnell Brain Imaging Centre
2018-02-21 14:29 GMT+01:00 Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>:
Perhaps this then relates to Chris's question about whether they should be called AnatomicalLandmarks or Landmarks. I would argue that, if they are true *anatomical* landmarks, then they should NOT vary with how they happened to be digitised in a particular MEG session - ie they would be identified once on an MRI by an expert, and would not change ever again.
If however the particular choice of landmark varied from MEG session to MEG session (eg in one MEG session, a researcher digitised some landmarks based on a photo (with no standard anatomical label), and on a different MEG session, a researcher digitised some *different* landmarks), then I suppose it might be more efficient to put in each MEG JSON separately (in MRI coordinates, with labels matching those for the same points in MEG/digitised coordinates in same JSON, and ideally linked to a photo or something that defines them non-anatomically). But I would think such "landmarks" become more like headpoints - ie depend on MEG session, but are not anatomically defined, so should not appear in the MRI JSON. (Besides, is this done often? I thought most labs used anatomical landmarks, if any?).
For this reason, perhaps we should keep "AnatomicalLandmarks" in the MRI JSON, to clarify that they are *absolute anatomical locations* that do not depend on which particular landmarks were digitised in a specific MEG session?
R
PS Note that different *anatomical* landmarks could be used in different MEG sessions, ie the MRI JSON could contain a superset of anatomical locations, of which at least 3 used for any particular MEG session.
-----Original Message-----
From: Vladimir Litvak [mailto:litvak....@gmail.com]
Sent: 21 February 2018 10:47
To: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>
Cc: Satrajit Ghosh <sa...@mit.edu>; bids-di...@googlegroups.com; Mainak Jas <main...@gmail.com>; Guiomar Niso <guioma...@ctb.upm.es>; Elizabeth Anne Bock, Ms <elizabe...@mcgill.ca>; Francois Tadel, Mr <francoi...@mcgill.ca>; Martin Pierre Cousineau, M <martin.p....@mcgill.ca>
> <bids-di...@googlegroups.com>; Chris Gorgolewski
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> <bids-di...@googlegroups.com>; Chris Gorgolewski
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Ø Another thing I'm getting some doubts now, is that we have removed the anatomical landmark fields in the MEG JSON. Shouldn't we need to make them back, to have these points in the MEG Coordinate system and be able to make the correspondence with the MRI fields? or should all (both coils and landmarks) be stored there in HeadCoilds fields??
I’m sorry if I missed this, but I have been assuming that the same set of anatomical points (eg NAS, LPA, RPA) appear in both the MRI JSON and the MEG JSON. In the MRI JSON they are in MRI space (manually identified by an expert); in the MEG JSON, they are in the “MEG” space (ie same space as headpoints, coils, etc) (digitised during MEG experiment). Is that not currently the case?
Julia Guiomar Niso Galán, PhD
Montreal Neurological Institute, McGill UniversityMcConnell Brain Imaging Centre
2018-02-21 14:29 GMT+01:00 Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>:
Perhaps this then relates to Chris's question about whether they should be called AnatomicalLandmarks or Landmarks. I would argue that, if they are true *anatomical* landmarks, then they should NOT vary with how they happened to be digitised in a particular MEG session - ie they would be identified once on an MRI by an expert, and would not change ever again.
If however the particular choice of landmark varied from MEG session to MEG session (eg in one MEG session, a researcher digitised some landmarks based on a photo (with no standard anatomical label), and on a different MEG session, a researcher digitised some *different* landmarks), then I suppose it might be more efficient to put in each MEG JSON separately (in MRI coordinates, with labels matching those for the same points in MEG/digitised coordinates in same JSON, and ideally linked to a photo or something that defines them non-anatomically). But I would think such "landmarks" become more like headpoints - ie depend on MEG session, but are not anatomically defined, so should not appear in the MRI JSON. (Besides, is this done often? I thought most labs used anatomical landmarks, if any?).
For this reason, perhaps we should keep "AnatomicalLandmarks" in the MRI JSON, to clarify that they are *absolute anatomical locations* that do not depend on which particular landmarks were digitised in a specific MEG session?
R
PS Note that different *anatomical* landmarks could be used in different MEG sessions, ie the MRI JSON could contain a superset of anatomical locations, of which at least 3 used for any particular MEG session.
-----Original Message-----
From: Vladimir Litvak [mailto:litvak.vladimir@gmail.com]
Sent: 21 February 2018 10:47
To: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>
Cc: Satrajit Ghosh <sa...@mit.edu>; bids-discussion@googlegroups.com; Mainak Jas <main...@gmail.com>; Guiomar Niso <guioma...@ctb.upm.es>; Elizabeth Anne Bock, Ms <elizabe...@mcgill.ca>; Francois Tadel, Mr <francoi...@mcgill.ca>; Martin Pierre Cousineau, M <martin.p....@mcgill.ca>
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Subject: Re: [bids-discussion] Corregistration between MEG and MRI
Hi Rik,
I think Satra meant that some people who are very meticulous about their coregistration would go as far as identifying the landmarks every time anew (e.g. based on photos). This could be supported in my original proposal (the one with 3 steps) but at this stage perhaps we should not keep going in circles. One possible workaround for this case is to include in the LandmarkCoordinates field several sets of landmarks with slightly different names.
Best,
Vladimir
On Wed, Feb 21, 2018 at 7:46 AM, Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk> wrote:
>
>
> Sorry – I don’t understand why you would need new anatomical landmarks
> for each MEG session in the MRI JSON (apologies if I misunderstood
> Satra’s suggestion below). These landmarks are a property of the MRI
> image, not of the MEG data. They are *before* any coregistration of
> the MEG and MRI. (Note that their coordinates are likely to differ
> from the same landmarks that are digitized in the MEG JSON, for which
> there could be one JSON per MEG session to allow for different
> digitizations in different sessions). So I cannot see why there would need to be more than one set in the MRI JSON?
>
>
>
> R
>
>
>
>
>
> ---------------------------------------------------------------
>
> Professor Richard Henson
>
> Deputy Director
> MRC Cognition and Brain Sciences Unit
> University of Cambridge
>
> 15 Chaucer Road
> Cambridge, CB2 7EF
> England
>
> EMAIL: rik.henson@mrc-cbu.cam.ac.uk
> EMAIL: rik.henson@mrc-cbu.cam.ac.uk
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My suggestion would be that the MRI coordinates of fiducials marked by capsules that are visible in the MRI should be stored in the MRI JSON file, since they are “anatomical” in the sense that they are property of the MRI image itself (and can be given a label like “capsule1” that would then need to appear in the MEG JSON with its corresponding digitized MEG coordinates).
As for coils put a fixed distance from an anatomical landmark, then I would suggest that their MRI coordinates are also put in the MRI JSON, since they are still defined relative to anatomy, even if not coincident with an exact anatomical feature. It’s probably better not to give them a conventional anatomical label like “LPA”, but rather a bespoke label like “LPA1cm” – all that matters (I think) is that the same label is used in the MEG JSON file for their MEG coordinates.
R
From: Lorenzo Magazzini [mailto:magaz...@gmail.com]
Sent: 22 February 2018 10:51
To: bids-di...@googlegroups.com
Cc: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>; Vladimir Litvak <litvak....@gmail.com>; Satrajit Ghosh <sa...@mit.edu>; Mainak Jas <main...@gmail.com>; Elizabeth Anne Bock, Ms <elizabe...@mcgill.ca>; Francois Tadel, Mr <francoi...@mcgill.ca>;
Martin Pierre Cousineau, M <martin.p....@mcgill.ca>
Subject: Re: [bids-discussion] Corregistration between MEG and MRI
Hi all,
Cc: Satrajit Ghosh <sa...@mit.edu>; bids-di...@googlegroups.com; Mainak Jas <main...@gmail.com>; Guiomar Niso <guioma...@ctb.upm.es>; Elizabeth Anne Bock, Ms <elizabe...@mcgill.ca>; Francois Tadel, Mr <francoi...@mcgill.ca>; Martin Pierre Cousineau, M <martin.p....@mcgill.ca>
Subject: Re: [bids-discussion] Corregistration between MEG and MRI
Hi Rik,
I think Satra meant that some people who are very meticulous about their coregistration would go as far as identifying the landmarks every time anew (e.g. based on photos). This could be supported in my original proposal (the one with 3 steps) but at this stage perhaps we should not keep going in circles. One possible workaround for this case is to include in the LandmarkCoordinates field several sets of landmarks with slightly different names.
Best,
Vladimir
On Wed, Feb 21, 2018 at 7:46 AM, Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk> wrote:
>
>
> Sorry – I don’t understand why you would need new anatomical landmarks
> for each MEG session in the MRI JSON (apologies if I misunderstood
> Satra’s suggestion below). These landmarks are a property of the MRI
> image, not of the MEG data. They are *before* any coregistration of
> the MEG and MRI. (Note that their coordinates are likely to differ
> from the same landmarks that are digitized in the MEG JSON, for which
> there could be one JSON per MEG session to allow for different
> digitizations in different sessions). So I cannot see why there would need to be more than one set in the MRI JSON?
>
>
>
> R
>
>
>
>
>
> ---------------------------------------------------------------
>
> Professor Richard Henson
>
> Deputy Director
> MRC Cognition and Brain Sciences Unit
> University of Cambridge
>
> 15 Chaucer Road
> Cambridge, CB2 7EF
> England
>
> EMAIL: rik.h...@mrc-cbu.cam.ac.uk
> EMAIL: rik.h...@mrc-cbu.cam.ac.uk
> URL: http://www.mrc-cbu.cam.ac.uk/people/rik.henson/personal
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>
> ---------------------------------------------------------------
>
>
>
>
>
> From: Sylvain Baillet, Dr [mailto:sylvain...@mcgill.ca]
> Sent: 20 February 2018 14:19
> To: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>
> Cc: Vladimir Litvak <litvak....@GMAIL.COM>; bids-discussion
> <bids-di...@googlegroups.com>; Chris Gorgolewski
> (krzysztof....@gmail.com) <krzysztof....@gmail.com>;
> EMAIL: rik.h...@mrc-cbu.cam.ac.uk
> URL: http://www.mrc-cbu.cam.ac.uk/people/rik.henson/personal
>
> TEL +44 (0)1223 355 294 x501
> FAX +44 (0)1223 359 062
> MOB +44 (0)794 1377 345
>
> ---------------------------------------------------------------
>
>
>
>
>
> From: Sylvain Baillet, Dr [mailto:sylvain...@mcgill.ca]
> Sent: 19 February 2018 15:48
> To: Vladimir Litvak <litvak....@GMAIL.COM>
> Cc: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>; bids-discussion
> <bids-di...@googlegroups.com>; Chris Gorgolewski
> (krzysztof....@gmail.com) <krzysztof....@gmail.com>
> EMAIL: rik.h...@mrc-cbu.cam.ac.uk
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Lorenzo Magazzini, PhD
Research Associate
CUBRIC
Cardiff University
Cardiff CF24 4HQ
Tel: +44 (0)2920 870090
http://psych.cf.ac.uk/contactsandpeople/magazzinil.php
Cc: Satrajit Ghosh <sa...@mit.edu>; bids-discu...@googlegroups.com; Mainak Jas <main...@gmail.com>; Guiomar Niso <guioma...@ctb.upm.es>; Elizabeth Anne Bock, Ms <elizabe...@mcgill.ca>; Francois Tadel, Mr <francoi...@mcgill.ca>; Martin Pierre Cousineau, M <martin.p....@mcgill.ca>
Subject: Re: [bids-discussion] Corregistration between MEG and MRI
Hi Rik,
I think Satra meant that some people who are very meticulous about their coregistration would go as far as identifying the landmarks every time anew (e.g. based on photos). This could be supported in my original proposal (the one with 3 steps) but at this stage perhaps we should not keep going in circles. One possible workaround for this case is to include in the LandmarkCoordinates field several sets of landmarks with slightly different names.
Best,
Vladimir
On Wed, Feb 21, 2018 at 7:46 AM, Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk> wrote:
>
>
> Sorry – I don’t understand why you would need new anatomical landmarks
> for each MEG session in the MRI JSON (apologies if I misunderstood
> Satra’s suggestion below). These landmarks are a property of the MRI
> image, not of the MEG data. They are *before* any coregistration of
> the MEG and MRI. (Note that their coordinates are likely to differ
> from the same landmarks that are digitized in the MEG JSON, for which
> there could be one JSON per MEG session to allow for different
> digitizations in different sessions). So I cannot see why there would need to be more than one set in the MRI JSON?
>
>
>
> R
>
>
>
>
>
> ---------------------------------------------------------------
>
> Professor Richard Henson
>
> Deputy Director
> MRC Cognition and Brain Sciences Unit
> University of Cambridge
>
> 15 Chaucer Road
> Cambridge, CB2 7EF
> England
>
> EMAIL: rik.henson@mrc-cbu.cam.ac.uk
> EMAIL: rik.henson@mrc-cbu.cam.ac.uk
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> TEL +44 (0)1223 355 294 x501
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> ---------------------------------------------------------------
>
>
>
>
>
> From: Sylvain Baillet, Dr [mailto:sylvain.baillet@mcgill.ca]
> Sent: 20 February 2018 14:19
> To: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>
> Cc: Vladimir Litvak <litvak....@GMAIL.COM>; bids-discussion
> <bids-discussion@googlegroups.com>; Chris Gorgolewski
> (krzysztof.gorgolewski@gmail.com) <krzysztof.gorgolewski@gmail.com>;
> EMAIL: rik.henson@mrc-cbu.cam.ac.uk
> URL: http://www.mrc-cbu.cam.ac.uk/people/rik.henson/personal
>
> TEL +44 (0)1223 355 294 x501
> FAX +44 (0)1223 359 062
> MOB +44 (0)794 1377 345
>
> ---------------------------------------------------------------
>
>
>
>
>
> From: Sylvain Baillet, Dr [mailto:sylvain.baillet@mcgill.ca]
> Sent: 19 February 2018 15:48
> To: Vladimir Litvak <litvak....@GMAIL.COM>
> Cc: Rik Henson <Rik.H...@mrc-cbu.cam.ac.uk>; bids-discussion
> <bids-discussion@googlegroups.com>; Chris Gorgolewski
> (krzysztof.gorgolewski@gmail.com) <krzysztof.gorgolewski@gmail.com>
> EMAIL: rik.henson@mrc-cbu.cam.ac.uk
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Lorenzo: the head coil coordinates are specified in the MEG _coordsystem.json (see: Fiducials (HLC/HPI Coils) section).
I understand that for all manufacturers, the MEG coordinate system is always relative to the head and defined wrt to the actual anatomical landmarks, regardless of the location of the coils (eg, CTF imposes the coils ot be placed at the anatomical landmark locations, not Elekta). Then only the anatomical landmarks need to be marked in the MR, not the coils.
Cc: Satrajit Ghosh <sa...@mit.edu>; bids-discussion@googlegroups.com;
<bids-discussion@googlegroups.com>; Chris Gorgolewski
(krzysztof.gorgolewski@gmail.com) <krzysztof.gorgolewski@gmail.com>;
<bids-discussion@googlegroups.com>; Chris Gorgolewski
(krzysztof.gorgolewski@gmail.com) <krzysztof.gorgolewski@gmail.com>
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Lorenzo Magazzini, PhD
Research Associate
CUBRIC
Cardiff University
Cardiff CF24 4HQ
Tel: +44 (0)2920 870090
http://psych.cf.ac.uk/contactsandpeople/magazzinil.php
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MainakI'll be able to get back to the validator PR next week. There are some regexps to fix, and a few updates that Guio informed me about.Chris,I would merge this PR if it's good to go for Guio: https://github.com/INCF/BIDS-examples/pull/51
I suggest freezing the MEG-BIDS draft at some point, as I still see many new suggestions/improvements everyday. The validator would work for this "version" of the draft.
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