Is this using HCP data or the HCP ASL pipeline?
Matt.
.
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Using the HCP’s ASL pipeline?
Matt.
From: Abir Toudi <abirtro...@gmail.com>
Reply-To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Date: Thursday, May 12, 2022 at 9:36 AM
To: HCP-Users <hcp-...@humanconnectome.org>
Cc: "Glasser, Matt" <glas...@wustl.edu>
Subject: Re: [hcp-users] Problem with ASL CBF maps
I have used the HCP data and then I tried with another healthy subject. Same results !!
Abir.
Le jeudi 12 mai 2022 à 16:03:24 UTC+2, glas...@wustl.edu a écrit :
Is this using HCP data or the HCP ASL pipeline?
Matt.
From: Abir Toudi <abirtro...@gmail.com>
Reply-To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Date: Thursday, May 12, 2022 at 8:46 AM
To: HCP-Users <hcp-...@humanconnectome.org>
Subject: [hcp-users] Problem with ASL CBF maps
Dear HCP Users,
I'm working on ASL CBF extraction maps, so I followed all the steps of the quantification, and I don't undrestand why I having this king of results. Very much dark in the middle of the CBF map.
Could you help me to fix the problem. I'm blocked at this stage!
Thank you very much.
Abir.
.
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Hi Abir,
One of the QuNex developers told me that he was able to pull the docker image from the QuNex GitLab and run some sample commands.
So maybe the QuNex container (which includes the HCPpipelines) is a path forward for you.
There is a lot of documentation available at the above link. If you run into problems or have questions there is a QuNex Forum available as well.
Cheers,
-MH
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Michael Harms, Ph.D.
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Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO 63110 Email: mha...@wustl.edu
From: Abir Toudi <abirtro...@gmail.com>
Reply-To: "hcp-...@humanconnectome.org" <hcp-...@humanconnectome.org>
Date: Friday, May 13, 2022 at 1:27 AM
To: HCP-Users <hcp-...@humanconnectome.org>
Cc: "Glasser, Matt" <glas...@wustl.edu>
Subject: Re: [hcp-users] Problem with ASL CBF maps
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Perhaps an ASL processing expert can chime in, but my simple understanding is that the M0 volumes are important for being able to compute estimates of CBF in real physical units.
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Hi Abir,
It is potentially possible to use the control images (those without labelling) from the ASL data time series to produce estimates of CBF in physical units if the M0 data is not available. However, this is only possible if the ASL data were acquired without background suppression (fortunately this is the case for the HCP data). Generally the M0 images are better suited to quantification because they have a much longer TR.
If you don’t have the M0 images then it might be worth extracting the ASL control images from the longest PLD and attempting to use those in place of an M0 image (ideally accounting for the short TR of the ASL data), to see if you get sensible CBF numbers out. However, if you can get access to the M0 image, then that would be the preferred route for quantification.
All the best,
Flora
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Hi Abir,
I think the HCP Lifespan data were acquired without background suppression – is that the data you are using?
If the data you have were acquired with background suppression then it will not be possible to use the control images for quantification and so it is not even worth trying it.
Hi Abir,
If your ASL data is background suppressed and you do not have M0 images then you cannot produce CBF maps in absolute units of ml/100g/min, and so you can only produce relative CBF maps.
Relative CBF maps can still be useful e.g. if you normalise the relative CBF map for each individual by dividing the voxelwise values by that individual’s mean relative CBF value for grey matter, then comparisons can be made between ROIs, and voxelwise group analyses can still be performed using this normalised relative CBF, rather than using the more typical absolute quantitative CBF, to which you don’t have access.