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1. kanzure · 1790804129 · focus · HN ↗

   That's cool. Ultrasound imaging should be much more broadly available, like household object next to your toothbrush. I wonder how OpenWater open-source focused ultrasound stimulation is doing.

   1. polishdude20 · 1790807704 · focus · HN ↗

      I've recently built my own ultrasound machine at home with only the probe being an ebay buy from a previously working machine.

      I've gotta get on writing an article about it one day!

      1. jacquesm · 1790813481 · focus · HN ↗

         Please do! That makes me wonder how hard it would be to make a probe.
      2. tokyovigilante · 1790819472 · focus · HN ↗

         Well done, although all commercial ultrasounds are just a probe (piezoelectric curved or linear array) connected to a computer, previously over a high speed custom parallel bus, today USB-C will do. Then M-mode or B-mode reconstruction just runs in software. Doppler needs beam-steering etc and is a bit more complex.
      3. raphman · 1790842359 · focus · HN ↗

         Oh, I have some ultrasound probes lying around - would be very interested in a report!
2. bbor · 1790808518 · focus · HN ↗

   Very interesting, great write up, and awesome blog in general!

   I never got to invest serious time in this idea, but MMW: trimodal EEG+fNIRS+fUSI dry headsets are going to change everything. Each technique has its strengths, and there are already people hacking together trimodal prototypes as we speak.

3. tokyovigilante · 1790819369 · focus · HN ↗

   How do you propose to solve the “rigid skull” problem (footnote 2 in the post)? Most people like having theirs intact during diagnostic imaging.

   I await clinical use of this with bated breath…

   1. ssivark · 1790825012 · focus · HN ↗

      [delayed]
   2. yummypaint · 1790861309 · focus · HN ↗

      I wonder if you could image through the eyeballs? Someone must have tried it
4. IanCal · 1790849657 · focus · HN ↗

   Cool stuff :)

   What's the relationship between the blood flow and energy use? I know fMRI uses BOLD which then has an IIRC ~6s expected pattern that you apply as a convolution on the data, as it's looking at the oxygenation of the blood. Here it's energy use -> vasodilation -> change in blood flow - what's the relationship like between those?

5. [deleted] · 1790851090 · focus · HN ↗

   [deleted]

6. zghst · 1790873950 · focus · HN ↗

   The engineering is impressive. The actual information you get out of the technique feels considerably less so.

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