Welcome to the summer semester lecture on interventional medical image processing.
My name is Joachim Honegger.
If you don't know me, I'm a teaching associate at the pattern recognition lab here in the
computer science department, and I'm here to teach medical image processing.
And the plan for today is I will give you a brief overview of the topics we are considering,
and then we will dig into one preprocessing step that is important for many interventions.
We will look into the problem, how can we compute edges, how can we compute corners,
and other significant points in the image that might be useful for an intervention.
Now the first question is, what the hell is an intervention?
I want to clarify in a short introduction as well.
Let me just see whether I have my remote control.
This morning I learned that my English is a little rusty.
I hope that you can understand what I'm saying.
Is there anybody except James who is not speaking German?
Perfect.
So we will teach in English.
Good.
Broken English.
Rusty, broken English.
I'm more focusing on it right now.
I'm more concentrated actually.
The slides, I will put the slides on the web.
I change the topics of the lecture compared to last year a little bit, so we will at the
beginning drop or skip a few chapters that I did in the past, but we will bring in new
topics.
And this is an advanced course.
And advanced courses have the nice property that we address research problems and recent
results, and that implies that things change over the time.
So if you attend like David the fifth time in this lecture, you will learn the fifth
time something different.
Good.
Partially at least.
I have no idea whether you are here the first time or not.
So the first question is, can we shift the time for the lecture?
Because I know that some of you have overlaps and things like that.
We can discuss, but we will not change.
So the lectures will be recorded.
And so you can download the videos and you can enjoy the exciting topics that we are
discussing here at home with your girlfriend and a glass of wine.
If we start to discuss and shift things around, there will always be three, four people left
that have an overlap with other lectures that will not work.
Period.
Okay.
So is DMIP required to attend EMIP?
If you don't know what DMIP is, that means that you are not experienced with the topics
we have discussed there.
That's the diagnostic part.
And now we are discussing the interventional part.
The answer is, yeah.
It's not a disadvantage.
Presenters
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Dauer
00:43:07 Min
Aufnahmedatum
2011-05-03
Hochgeladen am
2011-05-10 14:19:02
Sprache
en-US