Interactive Transcript
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Okay, this next topic is phase contrast cardiac MRI.
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So here's an example of phase contrast imaging.
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Whenever you perform phase contrast, you get both
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what's called a magnitude set of images, the ones on
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the left, and the phase images, the one on the right.
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The phase images have all the important information.
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Phase contrast is also known as flow
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velocity mapping or flow mapping.
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And what we see here is that on the right-hand image,
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each pixel is coded with extra information from
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your standard 2D MRI, and that extra information
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is the directionality of flow and a rate of flow.
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The brighter the pixel, either on the far
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end of the white scale or the really, really
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darker pixels on the far end of the black
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scale, those are the fastest moving pixels.
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And then the direction is
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coded by either white or black.
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So white can be decided by the scanner,
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but oftentimes, the white is towards you, as it
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is in this case, and black is away from you.
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So, like I said, in phase contrast imaging,
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the brightness corresponds to velocity
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and the color to the direction of flow.
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It's either in or out of plane.
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In this case, you'll see the upper
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right-hand corner here. The black is
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towards us, and the white is away from us.
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So, that sort of polarity there can be decided
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at the scanner, and it doesn't really matter.
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You just need to make sure you
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know what you're looking at.
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You must select the VENC, the highest velocity
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encoding, and VENC stands for velocity encoding.
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So, what does that mean?
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So if you're performing phase contrast,
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and you want to measure the flow or the peak
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velocity, you have to determine what is the...
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basically, what are the bounds of your pixel encoding.
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So for instance, if I say my
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blackest black is going to be
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my highest velocity pixels,
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well, what is the top limit of that velocity?
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Is it one meter per second?
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Is it one and a half meters per second?
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Is it two meters per second?
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Usually, we're going to use around one and a half meters
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per second for the aorta, and maybe one and a half,
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or even one meter per second, for the pulmonary artery,
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because that blood moves a little bit slower.
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In the setting of some sort of stenosis, you may
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need to go up to two, three, even four meters
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per second, in order to measure that stenosis
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because of the flow acceleration
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that can happen in the setting of a stenosis.
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The VENC is expressed in centimeters per second.
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So, you know, I mentioned one meter per
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second, so a hundred centimeters per second.
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Typically, we use around 150.
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You get aliasing when the peak
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velocity is greater than the VENC.
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So, for instance, if you're scanning a patient and you
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set your VENC at 150, and it turns out they have aortic
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stenosis and the blood's shooting out of there at 400
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centimeters per second or four meters per
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second, then you're going to get an area of
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aliasing, very much analogous to what we see on
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patients who have ultrasound and Doppler imaging
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when the frequency encoding is
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not set correctly, same thing.
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And the only way to correct for that is
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to actually rescan with a higher VENC.
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You can take these data sets and use them in
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special post-processing software to calculate flow.
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So, basically, you create a contour
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surrounding the blood vessel and propagate
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that throughout the entire cardiac cycle.
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The software will then measure that area and measure
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the signal over time and integrate it over the entire
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cardiac cycle to give you the flow calculation.
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So, how much blood is passing through
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that vessel over the cardiac cycle.
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And from those calculations, you can
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calculate shunts, which is an important
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thing for congenital heart disease.
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So the relative flow between the pulmonary
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side of the circulation and the systemic side
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of the circulation. If the pulmonary side is
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greater than the systemic side, that's not normal.
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One and a half
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is usually somewhere on the borderline of
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maybe we'll treat the patient, maybe we won't.
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And, certainly, over two is a very severe shunt.
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And those patients will always go to surgery,
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let's say if you have an ASD or VSD, for instance.
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Okay.
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I just wanted to include an example of aliasing.
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This is what it looks like.
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And the way you identify it is that you
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have the really, really dense pixels.
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So, whatever is the upper limit of
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your encoding, you'll see kind of a rim
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of those really dark pixels that ends up
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surrounding an area in the center of that rim.
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That is the brighter pixels of the opposite color.
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So, it's a halo of the really extreme high
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end of your range, um, with the central area,
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which is actually not even being encoded
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and it's flipped over to the wrong side.
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So that's the aliasing artifact.
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You look for; if you see this, then you should
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increase your venc and rescan the patient.