3 ms·
I did my Masters in NMR. Can confirm a lot of ML based plug-and-play solutions are helping denoising k-space. Trivia: I am also one of the pulse sequence devel
by srvmshr 4y ago
I did my Masters in NMR. Can confirm a lot of ML based plug-and-play solutions are helping denoising k-space.
Trivia: I am also one of the pulse sequence developers affiliated to Siemens LiverLab package on Syngo platform :) [Specifically the multiecho Dixon fat-water sequence]. SNR improvement was a big headache for rapid Dixon echos.
- lostlogin 4y agoHa, small world. Thanks for your work, I used to use this daily until a year ago, now my usage is less frequent. I guess Dixons are still a headache with their new k-space stuff as Boost (the denoising) isn’t compatible with it yet. Gain is but looks distinctly lame when you compare it Boost. We are yet to see the tech applied to breath hold sequences (haste, vibe etc), Dixon, 3D, gradient sequences and probably others. I’m looking forward to seeing it on haste and 3D T2s (space) in particular. MRI looks very different today compared to how it looked just 6 months ago. I’d compare it to the change we saw going from 1.5T to 3T, just accelerated in how quickly progress is being made.
- srvmshr 4y agoI have long since left collaboration with team at Cary, NC. But all I can say there was a great deal of interest in 3D sequence improvement by interpolation with known k-space patterns like in the GRASE or PROPELLR sequence for e.g. They also learned a good deal from working with NYU's fastMRI