1 - Lecture 1: Fundamentals of Magnetic Resonance Imaging [ID:45364]
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Okay, welcome back everybody to our first real lecture of computational MRI in this

semester.

What we're going to do today is essentially do a bit of a recap of the fundamentals of

MRI to the, of the MRI physics to the point that they are necessary for the course.

So it's not going to be, this is not an MRI physics course.

So we're not going to go into any details about spin dynamics or any of these things,

but just to give you a little bit of a background of the data that you are working with and

in particular to explain MRI data is captured in Fourier space.

So you will do a lot of manipulation of Fourier data in this lecture and we will develop some

intuition how to work with Fourier data, what happens if you manipulate it.

And this lesson essentially just tells you why MR has these properties that the data

are inquired in Fourier space, which is a little bit unusual.

So that's what we're going to do today and that's also what you will be doing in the

exercise on Thursday.

You will be manipulating a little bit the MR sequence parameters in sequences and generate

images with certain contrasts, but I'll get to that later.

I have one administrative item before we get started with the actual lecture content and

that is about the Thursday exercises.

What we have done now is we put a booking system in place on Stutt-Oen.

And the reason for that is, as you can see, we have about maybe 15 people here.

There's another last time we had 20 people available on Zoom.

So it is too many people for, if everybody wants to come on either the morning session

or the afternoon session, then this room is too big.

And then maybe the other one is empty.

So if you go on Stutt-Oen now, there's this subset computer exercise and we have made

the two slots, the morning slot and the afternoon slot, each with 20 slots.

And you can just select those and sign up to them.

It is not binding, so you don't absolutely have to do it.

But if we run into the situation that the room is too full and that there are too many

people there, then we will have to give preference to those people who have booked certain slots.

So if you really absolutely want to attend the morning or the afternoon one, then please

do this.

And I was also hoping that this serves as a bit of an indicator for all of you to see

which one is already full and which one is empty.

So if you'd rather be in the one where there are less people so that you get more

of a jubilation in a way, then you can just choose the other one.

So again, it's not binding.

It's more of a service for you.

But I think it's a good thing to keep in place that you can kind of implicitly coordinate

among yourselves.

So that's for the exercises.

And again, at the very end of this lecture, I'm going to say a couple of words about the

exercises.

So what you can expect on Thursday.

Okay, so now let's get started.

What we're going to do today is give you a bit of an overview how we get from this rather

abstract quantity, which is the nuclear spin to an image like this one.

By the way, does this display reasonably well?

Can you see or should we lower the blinds?

It's all right.

Zugänglich über

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Dauer

01:29:12 Min

Aufnahmedatum

2022-10-25

Hochgeladen am

2022-10-25 23:56:04

Sprache

en-US

Tags

Medical Imaging, MRI, Inverse Problems, Numerical Optimization, Machine Learning, Deep Learning
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