Introducing MRI: The Basics (1 of 56)

www.einstein.yu.edu - This introductory chapter of Dr. Michael Lipton's MRI course covers the basic technology of MRI, including signal intensity, contrast resolution and spatial resolution. Dr. Lipton is associate professor radiology at Albert Einstein College of Medicine and associate director of its Gruss Magnetic Resonance Research Center.

[@niravkarani2835]

Honestly, it's hard to exagerrate how thankful I am for this brilliant series of videos! Just a minor suggestion - it will be great if you could arrange the videos in the playlist in chronological order.

[@Jatojammer]

You could also search in chronological order as well

[@kj17589]

If you're looking to learn MR physics, look no further. Favourite the play list and buckle down. There is appx 24 hours worth of content in the whole playlist. I found myself watching at 1.5 times speed as Dr Lipton's natural pace is slightly slow (not a criticism). So you can probably condense everything to about 16-18 hours, making allowances for some parts that you might repeat. There is NO other resource, free or paid, that is as good at explaining this complicated concept, especially if like me, you do not have a strong physics background. If you watch 3 hours a day, you'll be done in 7 days. Go!
Thank you Dr L.

[@jacobvandijk6525]

And if you want to laugh for a moment, try 0.25 speed :-)

[@amrbsio]

what sequence did you watch it by?

[@francisjuarez7342]

How did you speed up the video??

[@Jacob-pp8yk]

Thank You Dr Lipton. This is an amazing resource for all MR students. I have just finished the playlist and feel greatly indebted to you. You solved so many of my chronic doubts about MR physics.

[@leannkania5846]

Dr Lipton, Thank you so much for recording these lecture and posting them!! NOTHING has come close to being as clear and understandable to me concerning MR physics. I can not thank you enough. Please make them into a pod cast so they can be listened to on the go!!

[@riccihall9178]

Thank you for providing these videos. These do really help when studying these concepts.

[@idoxrays2u]

Thank you Dr. Lipton, I'm so grateful you shared this MRI course.

[@bronevichok0507]

Thank you so much for this lectures! Now everything seems to be so simple for me!! But it's just the beginning, a great start!

[@drpriyankasakhavalkar]

MRI could not have been more simple than this..!! Thank you for the great series of lectures.. Very helpful and in-depth yet simple ... Immensely grateful..!!

[@minkookseo]

I just started this wonderful lecture. Thank you!

[@ahmedhussain3843]

Thanks dr. Lipton its great and very help full for me

[@moccafrappucino]

Excellent lectures! Greetings from Sweden.

[@rute3976]

Very interesting lecture! Although my area has nothing to do with medicine (software engineer), I was very curious about this subject. Thanks for the video :)

[@siwardhawadi9561]

This is so helpful!! Thank you ❤

[@dimatha7]

great lecture, thanks!

[@jesusdacoast872]

Thank you so much for these explanations

[@zerozero5027]

Thanks for posting this video

[@Fraktallacom]

Thank you for lecture.

[@nazmulhaque3071]

Great lecture.

[@umitdev7045]

well great course and i supported with book

[@sp18007]

I have a question at 4:02 in the video it says the signal right that we detect from the location where the tumor is has a measurement of 10 units so is that pixel intensity or signal intensity? Is pixel intensity same as signal intensity? If pixel is not same as signal then If I am not wrong that signal came from when passing electric signals through that image can anyone please explain?

[@marlosgoncalves2536]

Que show. Congtltns 👌

[@User-to7nb]

Thank you thank you thank you.

[@kurtthomson992]

Does anyone know the total time of these lectures? Can I finish them in 1 weekend?

[@hamzamaatoug5087]

Thank you sir.

[@kenbriley8544]

Amazing

[@threesisters3396]

Day 1, lets go

[@givemeajackson]

it's just the coolest machine in existence

[@joeirasm]

Hey everyone - is there a certain textbook (possibly with a clinical/radiologist's POV) that you can recommend as a supplement to this excellent series. :D

[@jianchangchen7548]

it does have, but i forgot the textbook's title.

[@patrickmccunn7411]

from picture to proton, or if you want to go more technical get the haake textbook.

[@Medical_Electronics_Horizon]

#I learn a lot for you Sir

[@roorb3909]

Is it for radiologist or radiographs??

[@radtechstudybuddy]

Awesome

[@TheGarnt]

My brain just exploded

[@akirahiris9266]

#weekends4MRIphysics
Here’s to better understanding the physics behind imaging.

[@mbalghari]

interesting introduction... #Weekends4MRIPhysics

[@dambition7495]

this guy is a god

[@pilotavery]

Most of the seems like common sense to someone who works in the information science or with an engineering background.

[@user-gh5sy6xj2n]

№цыплёнок

[@SachinVerma-hg2fy]

Oh God . He is Jew. I am blessed.