[lostlogin]

AI makes up for its poor reporting by enhancing the images.

Current Siemens MR software ‘Deep Resolve’ makes up the signal (adding about 50%), then makes up every second pixel, and then, for 3D sequences, makes up every second slice. It’s locking about 59% of the time off each sequences. And it’s really really good. I’m an MR tech.

[rasmus1610]

but those are two different things. Of course something like Deep Resolve is great, as are modern model based reconstruction algorithms for CTs, but here we are talking about LLMs and their ability to interpret medical images, which has nothing to do with what you said.

[microgpt]

Sorry? You use AI to hallucinate medical images and that's good?

[uecker]

It is not really the same as LLMs. I wouldn't call it AI. And I wouldn't say "makes up". I work in this field and this is certainly based also in part on my research.

[lostlogin]

‘Makes up’ is inaccurate for sure. But it’s not strictly true to call it acquired data either.

After years of collecting artifacts and errors, I have more and more respect for the tool.

But it’s jarring. I open a sequence, decrease the acquired resolution, add the AI and get a scan that’s quicker and higher resolution.

It’s an amazing time to be an MR tech.

[gavinray]

It's just DLSS/Frame Generation for MRI's.