Edit: This post was intended as a reply to https://news.ycombinator.com/item?id=30209618 , presently below > The lead author, Dr. Craig Bennett, wanted to get something fresh, so he headed in to the grocery story first thing in the morning. At the fish counter, he spoke the words that will echo down the centuries as a testimony to the dedication and drive of neuroscientists throughout the ages: >"I need a full length…
A low-cost and shielding-free ultra-low-field brain MRI scanner
51–60 of 151 posts
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#52Earlier quoted context omitted.
Towards the bottom: "Such scanner can be made low cost to manufacture, maintain and operate. For quantity production, we estimate hardware material costs under USD20K."
That's cheap...just not cheap enough for me to want to build it in my garage as a party gag.
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#53Code/data for replication: https://github.com/bispmri/Ultra-low-field-MRI-Scanner
Some of the code is Matlab. I wonder if GNU octave is sufficient to run it. That would be a big savings for studying this.
It looks like the bulk of the code for training the EMI elimination model is is pretty straightforward PyTorch.
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#54Right now, we (physicians) discourage people from getting tested outside of guidelines because we don't know what to do with incidental findings. But you could imagine that as a society, we would like to detect and understand these things, rather than just remain ignorant to them.
Inexpensive technology like this could be perfect for performing large-scale studies with repeated sampling of volunteers over time, to gain information that can help the next generation.
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#55The images are better that I expected. The ‘FLAIR like’ image is not particularly FLAIR like. FLAIR are nicer to look at when fat saturated (not everyone agrees with that), but that’s probably not feasible at that field strength and adding scan time would be a problem on these long sequences. Voxel sizes of 2x2x10 are pretty terrible resolution, but if the alternative is nothing, I guess that’s ok. The static field i…
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#56This sort of technology offers a lot of value for understanding human health in the future. Right now, we (physicians) discourage people from getting tested outside of guidelines because we don't know what to do with incidental findings. But you could imagine that as a society, we would like to detect and understand these things, rather than just remain ignorant to them. Inexpensive technology like this could be perf…
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#57Earlier quoted context omitted.
I'm glad that this is the approach that they are taking. There have been plenty of issues with fMRI false positives due to misconfigured software. The most famous would probably be the IG Nobel winning study that detected brain activity in a store-bought salmon: https://blogs.scientificamerican.com/scicurious-brain/ignobe... https://www.discovermagazine.com/mind/fmri-gets-slap-in-the-... Later studies called into que…
> The most famous would probably be the IG Nobel winning study that detected brain activity in a store-bought salmon: A store-bought dead salmon. I am assuming that most salmons bought in stores are dead but that particular detail is rather relevant here. Also that had me laughing, what a great move.
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#58Earlier quoted context omitted.
That's not "unfortunate." Sparse observations save lives. A quicker MR. Less X-Ray exposure. It's totally valid to worry about validation, but to the degree you can validate image processing algorithms of any kind - AI or otherwise - they absolutely save lives.
NMRI use microwaves, not x-rays.
Image processing saves lives.
Re: A low-cost and shielding-free ultra-low-field brain MRI scanner
#59woah. woah. woah. hold on a second here... are we comfortable enough with understanding all of the behavior of deep learning models to where we can confidently put them in the pipeline for diagnostic clinical imaging? i'm okay with using them for image analysis, but denoising and other image production tasks seems dangerous. how do you know what you're looking at is real as opposed to something that just looks convin…
Exactly my thoughts too. I'm fine with a simple noise-removal pass, but if the AI is context-aware, what's to stop it saying "hmm, this brain would look more like a normal brain if I remove these tumors". Obviously, they'll test for that, but that only handles common cases they concider, it's always going to be a risk for more unusual sceanrios, and the danger with altering the data is that anyone looking at the resu…