question about coil sensitivity map

[meysamtavakoli]

Hello,
I have a question about the gpuNUFFT code. I was confuse about the role of coil sensitivity map?
In better words, the code is working with or without coil sensitivity map. what is is the role of that in the gpuNUFFT?

Thank you
Meysam

[andyschwarzl]

Hi,

sensitivity maps can be passed as an option in order to speed up the computations during iterative reconstructions like SENSE, i.e. gpuNUFFT would apply and join the coil results on the GPU.

Best regards,
Andy

[meysamtavakoli]

Hi Andy,
Thank you for your response and clarification.
I agree with that the role of sensitivity map here is for speeding up the computations.
Do you know what is exact roll of "coil sensitivity map"? is it just for computation?
The point here is during the reconstruction, (using NUFFT for example), if we don't use the coil sensitivity map how we handle multi coil information into reconstruction?

Meanwhile, if you are OK feel free to send me email. My email is: [email protected]

Thank you

[meysamtavakoli]

Hi Andrew, Thank you for your email and sorry for my late reply. I don't know why your email went to my spam and just by chance I found your reply. It makes complete sense to me with your explanations. I agree with that. Right now I am working on basic reconstruction (gridding method) by comparing two methods: "NUFFT" and "conjugate gradient" and I don't know why the result of these two methods is not the same. In better words, for the NUFFT I completely get acceptable results but for the other one I have nothing!!! If you have time would you please let me know to send you my code to see which part I am missing? Thank you Meysam

…

On Thu, Sep 10, 2020 at 8:30 AM Andreas Schwarzl ***@***.***> wrote: Hi, sensitivity maps can be passed as an option in order to speed up the computations during iterative reconstructions like SENSE, i.e. gpuNUFFT would apply and join the coil results on the GPU. Best regards, Andy — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#85 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AQEKI3FR2TZDY5AN4O74EZLSFDIGVANCNFSM4QSUNS2A> .

-- Meysam Tavakoli, Ph.D. Research Scholar, Radiation Oncology Dept. University of Texas Southwestern Medical Center Website: https://sites.google.com/view/me <https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Fmeysamtavakoli%2Fhome&data=02%7C01%7Cayman.elbaz%40louisville.edu%7C730e08f8c10f4a9be53708d7eed2dc33%7Cdd246e4a54344e158ae391ad9797b209%7C0%7C0%7C637240461748025775&sdata=k7%2FMZc9hOaChG5ViXjOD5Ax6wKD%2F9mb9WCkRCNwZ1Wo%3D&reserved=0> ysamtavakoli/home <https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Fmeysamtavakoli%2Fhome&data=02%7C01%7Cayman.elbaz%40louisville.edu%7C730e08f8c10f4a9be53708d7eed2dc33%7Cdd246e4a54344e158ae391ad9797b209%7C0%7C0%7C637240461748025775&sdata=k7%2FMZc9hOaChG5ViXjOD5Ax6wKD%2F9mb9WCkRCNwZ1Wo%3D&reserved=0>