Open aTrotier opened 2 months ago
Hi! Hard to say. What do the different images mean? 20 slices are acquired simultaneously? or are the slices acquired sequentially?
Interestingly, the problem is also observed for the EPI_MS example; at least when simulating independently, the slice profiles have the same magnitude. Maybe a larger delay must be included between acquisitions for the magnetization to recover.
I will try running the MS EPI example using the development branch in #458, which should more precisely simulate RF pulses to discard a simulation accuracy problem
The slice are acquired sequentially. I also tried to acquire each slice in different sequence en get the same results :
If needed you can find attach the sequence (.ipynb and .seq) and reco (.jl) GRE_MS.zip
@cncastillo do you still observe this on the dev branch ?
I finally have some time to create the SMS example
Hi!, sorry for not looking at this earlier. Thanks for the patience, I was submitting my thesis and I was quite busy.
In the latest version Koma v0.9 I get this:
GRE_SMS_slX.seq X = 0, 1, 2, 3, 4
Is this more similar to what you expected?
Not really we still see the signal variation along the slice direction.
Le jeu. 31 oct. 2024, 23:25, Carlos Castillo Passi @.***> a écrit :
Hi, in the latest version Koma v0.9 I get this:
GRE_SMS_slX.seq X = 0, 1, 2, 3, 4 image.png (view on web) https://github.com/user-attachments/assets/55e37837-5a4d-4fbe-be67-f577291d19ea
Is this more similar to what you expected?
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Upon further examination, it seems that the phantom could be the problem. By default, brain_phantom3D
is a thin slab of 2cm (z from -1cm to 1cm). The slice thickness (3mm) and slice gaps (10mm) of the sequence make it so the excitation goes beyond the phantom (x-axis in cm):
By modifying the phantom to
obj = brain_phantom3D(;start_end=[120, 240]) # z from -3 cm to 3 cm
I get:
Which looks a lot more uniform (XZ view vol[64,:,:]
):
Great !
Do you already mention that in the documentation ?
Maybe I should add a literate example about 2d multi slice or 3d with a large fov ?
Le ven. 1 nov. 2024, 15:07, Carlos Castillo Passi @.***> a écrit :
Upon further examination, it seems that the phantom could be the problem. By default, phantom_3D is a thin slab of 2cm (z from -1cm to 1cm). The slice thickness (3mm) and slice gaps (10mm) of the sequence make it so the excitation goes beyond the phantom (x-axis in cm):
image.png (view on web) https://github.com/user-attachments/assets/1925e91c-c028-4f4b-9016-9618f2bf4960
By modifying the phantom to
obj = brain_phantom3D(;start_end=[130, 230]) # z from -2.5 cm to 2.5 cm
I get:
image.png (view on web) https://github.com/user-attachments/assets/b575583e-acaf-45d1-9900-652c6bf65c7f
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The docstring for brain_phantom3D
does not mention it, so that needs to be better explained. But it is mentioned here: https://juliahealth.org/KomaMRI.jl/stable/tutorial/04-3DSliceSelective/
A section at the end of that tutorial could be helpful, but ...
... even I forgot that brain_phantom3D
was not the whole head. So maybe we can remove the start_end
thing and always do the complete head. If a smaller slab is needed, the user can do obj[abs.(obj.z) .< 3e-2]
(z from -3cm to 3 cm), for example. What do you think?
Or you can let the start_end but the default will be the whole brain ?
Le ven. 1 nov. 2024, 19:09, Carlos Castillo Passi @.***> a écrit :
The docstring for brain_phantom3D does not mention it, so that needs to be better explained. But it is mentioned here: https://juliahealth.org/KomaMRI.jl/stable/tutorial/04-3DSliceSelective/
A section at the end of that tutorial could be helpful.
Now ... even I forgot that brain_phantom3D was not the whole head. So maybe we can remove the start_end thing and always do the complete head. If a smaller slab is needed, the user can do obj[abs.(obj.z) .< 3e-2] (z from -3cm to 3 cm), for example. What do you think?
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Yeah it sounds reasonable. I will do that now, and update the tutorial accordingly.
Off course, If you have any cool example I would be glad to put it in the tutorials as well.
What happened?
Hi, I would like to create a simultaneous multi-slice (SMS) example for a course.
First, I created with pypulseq a standard Multi-slice GRE sequence with long TR=1000ms in order to not worry about the spoiling.
The images are ok but with signal / contrast variation along the slice dimension
With phantom2D i have the same issue :
If I try with the EPI_MS from the example repository I think I have the same issue (hard to tell with only 3 slices, I think it happens when I go further away from isocenter)
In order to change the slice position I am using this line of code in pulseq :
Any idea ?
Environment