This is a great explanation! There’s something quite puzzling to me though, and would really be grateful for your clarification - does the Dixon suppress blood signals as well? Like on fat-only images, are the blood signals suppressed since they can be considered ‘water’ as well? And on ‘water-only’ images, do the blood shows up, so the hyperintensity we see on ‘water-only’ may be due to blood or water?
Thank you for all your videos. I am working on liver MRI images taken with IDEAL sequence: I have 72 images per patient (same slice). How is that possible ? How do I identify the IP, OP, water only, fat only images ?
Hi Burt. Different protons have their own unique rate of precession. So if one uses time as a factor, the machine can "know" at what particular times the protons are "in phase" or "out of phase". Thanks for the question :)
Merci, c'est très bien. Mais vous auriez dû montrer un adénome surrénalien avec une chute de signal en "out of phase" : c'était un exemple simple et important sur le plan pédagogique.
Your videos are really as simplified as name of your channel.Excellent. Thank you.
Glad you like them Praj!
This is a great explanation! There’s something quite puzzling to me though, and would really be grateful for your clarification - does the Dixon suppress blood signals as well? Like on fat-only images, are the blood signals suppressed since they can be considered ‘water’ as well? And on ‘water-only’ images, do the blood shows up, so the hyperintensity we see on ‘water-only’ may be due to blood or water?
This was a super overview, thanks!
Very welcome! Thank you Kristi
Thank you for all your videos. I am working on liver MRI images taken with IDEAL sequence: I have 72 images per patient (same slice). How is that possible ? How do I identify the IP, OP, water only, fat only images ?
Thank you so much. This is amazing!
Glad it was helpful!
How does the machine know when the protons are in/out of phase?
Hi Burt. Different protons have their own unique rate of precession. So if one uses time as a factor, the machine can "know" at what particular times the protons are "in phase" or "out of phase". Thanks for the question :)
Thank you
Thank you!
Greatly explained
Glad you think so!
what is that border black line artifact called?
Hi Sabah. it's india ink
Amazing! Thank you so much!
Thank you so much
Merci, c'est très bien. Mais vous auriez dû montrer un adénome surrénalien avec une chute de signal en "out of phase" : c'était un exemple simple et important sur le plan pédagogique.
Amazing
Marge?
Thanks
you're welcome cours