So good morning everybody.
Tuesday morning session, we will talk about model-based catheter tracking today again,
but before we dig into the details and continue what we started yesterday, on Tuesdays we
always have the big picture, so let me just take a few minutes to summarize what we are
doing here and what we did so far and what the storyline of the whole lecture is, okay?
So just the mind map as usual at the beginning of the lecture, we have here the cloud saying
IMIP, Interventional Medical Image Processing.
It has to be fast, it has to be reliable, it has to be robust and so on, easy to use
and so on.
So we are taking care of systems that are basically used by the doctor during a surgery
during an intervention.
And at the beginning of the lecture, we started to look at magnetic navigation.
In the first week when I was not here, we did some pre-processing stuff that is important,
but basically the core topics we started in the second week and one topic there was magnetic
navigation.
Magnetic navigation.
So what was the idea of magnetic navigation?
The idea was that our catheter tip holds a little magnet, we have huge magnet on the
left and the right side of the patient.
We have a user interface that allows the doctor to tell the system this is the direction of
the magnetic field and then the magnetic field is applied to the catheter tip and by pushing
the catheter a little bit, it's going into the right direction.
The support the doctor gets with this type of device is it's much easier to navigate
through complex vessel structures like the cerebral vessel system or like the coronary
arteries in the heart.
So we have magnetic tools that allow us to change the orientation of the catheter and
to simplify the interventional procedure.
And the problem that we have considered was design a user interface.
And the design of the user interface must be done in a way that during the procedure
it's easy to adjust the magnetic field.
In an interventional suite, usually you have a C-arm system, we all know what a C-arm system
is with a detector and an x-ray tube and you can capture 2D projections.
The question that we tackled was how can I use the 2D projections to adjust the 3D orientation
of the magnetic field?
And the idea was that we captured two images.
We have here a 3D point, here our optical centers and out of this, oh I cancelled the
wrong, it doesn't matter.
We say this is the point and this is the point in the 2D image and this is the 3D point and
now we define two points here in this image and here in this image and we compute basically,
oh I'm not good in this, oh wow.
Let me just take this away here and bring this in again.
So we have here the point and here and here the vector and out of this we can compute
the 3D displacement vector between the 2D points.
That was the idea that we use 2D projections and mark two points in one image and two points
in the other image and then we say in the projections this is exactly the orientation
of the magnetic field and then we go back into 3D and recompute the three-dimensional
orientation vector and this is given to the magnets.
That was the idea.
And now we have discussed at the beginning, the more complex case by the way, the more
complex case that we can arbitrarily move around the C arm.
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00:00:00 Min
Aufnahmedatum
2009-06-09
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2025-09-30 08:52:01
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