Dear Quality Champions,
Hope you are doing well, and enjoying the last few weeks of the summer 😊
I am curious if you are aware of any SOPs or best practices in handling a non-trivial scanner upgrade or change (software or hardware)? Some of the questions I have are 1) how would we go about making sure the upgrade didn’t result in any unwanted effects (noise, artefacts), 2) how do you assert that?, 3) what needs to kept in mind in this process?
I’d like to capture any related papers or SOPs from different centers into a useful document we can share to the community – please share anything you have from your lab/center. If you don’t want it to be posted openly, please email me separately. Thanks for considering.
If that is seen as a useful resource (because nothing exists in that space?) to develop an SOP and/or proper flowchart or framework for this, I’m happy to work with those interested to make a short paper.
Thanks,
Pradeep
Pradeep Reddy, RAAMANA, Ph.D.,
Assistant Professor,
Depts of Radiology,
Biomedical Informatics, and
Intelligent systems,
University of Pittsburgh School of Medicine.
Lab : openmindslab.com
Blog: crossinvalidation.com
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Forwarding Nik’s reply below as it might not have been delivered to the group.
Thanks very much everyone for the replies so far, I will keep listening for others before commenting further.
On 2022-09-28, 1:14 PM, "Nikolaus Weiskopf" <weis...@cbs.mpg.de> wrote:
Hi Pradeep and others,
this is a tricky question. We usually avoid any such upgrades during
longitudinal studies.
If it cannot be avoided at all, we try to apply good experimental
design, particularly randomization across the upgrade time point, to
avoid bias. We would also try to treat it similarly to harmonization
across vendors, sites and scanner types. For example, traveling heads
studies (here not traveling but across time) can be useful (e.g.
using quantitative MRI approaches can generally help with these kind of
issues.
Best regards,
Nik
> Logo Description automatically generated
>
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Professor Dr Nikolaus Weiskopf
Director
Department of Neurophysics
Max Planck Institute for Human Cognitive and Brain Sciences
Stephanstrasse 1a
04103 Leipzig
Germany
Phone: +49 341 9940-2242
Fax: +49 341 9940-2448
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I saw Nik’s comment about avoiding upgrades during longitudinal studies. We have of the order of 100 PIs running studies, many of them longitudinal and overlapping (not synchronized in time) so there is never a good time to change the magnet but it has to be done. So we measure as much as we can pre- and post- and just do it.
R. Todd Constable, Ph.D.Professor Radiology and Biomedical ImagingNeurosurgeryDirector MRI ResearchYale University School of MedicineThe Anlyan Center300 Cedar StreetPO Box 208043New Haven, CT 06520-8043Tel: 203-785-6199
My hours may differ from yours - no need for you to respond off-hours.
On Sep 28, 2022, at 2:26 PM, Raamana, Pradeep Reddy <RAAM...@pitt.edu> wrote:
Forwarding Nik’s reply below as it might not have been delivered to the group.Thanks very much everyone for the replies so far, I will keep listening for others before commenting further.On 2022-09-28, 1:14 PM, "Nikolaus Weiskopf" <weis...@cbs.mpg.de> wrote:
Hi Pradeep and others,this is a tricky question. We usually avoid any such upgrades duringlongitudinal studies.If it cannot be avoided at all, we try to apply good experimentaldesign, particularly randomization across the upgrade time point, toavoid bias. We would also try to treat it similarly to harmonizationacross vendors, sites and scanner types. For example, traveling headsstudies (here not traveling but across time) can be useful (e.g.
>> Logo Description automatically generated>--Professor Dr Nikolaus WeiskopfDirectorDepartment of NeurophysicsMax Planck Institute for Human Cognitive and Brain SciencesStephanstrasse 1a04103 LeipzigGermanyPhone: +49 341 9940-2242Fax: +49 341 9940-2448
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