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kjetil b halvorsen ♦
kjetil b halvorsen ♦
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I am working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis. I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

enter image description hereone example curve

I am using Euclidean distance k-means in order to try this. The data seems to be OK, but I need a way to determine uniformity between curves—how similar curves in a group are to one another. Any suggestions on how to do this?

I am working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis. I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

enter image description here

I am using Euclidean distance k-means in order to try this. The data seems to be OK, but I need a way to determine uniformity between curves—how similar curves in a group are to one another. Any suggestions on how to do this?

I am working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis. I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

one example curve

I am using Euclidean distance k-means in order to try this. The data seems to be OK, but I need a way to determine uniformity between curves—how similar curves in a group are to one another. Any suggestions on how to do this?

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gung - Reinstate Monica
gung - Reinstate Monica
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I am right now working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis.

  I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

Currentlyenter image description here

I am using Euclidean Distancedistance k-means in order to try this. The data seems to look okbe OK, but I need a way to determine uniformity between curves - howcurves—how similar are curves in a group are to one another.

  Any suggestions on how to do this?

I am right now working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis.

  I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

Currently I am using Euclidean Distance k-means in order to try this. The data seems to look ok, but I need a way to determine uniformity between curves - how similar are curves in a group to one another.

  Any suggestions on how to do this?

I am working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis. I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

enter image description here

I am using Euclidean distance k-means in order to try this. The data seems to be OK, but I need a way to determine uniformity between curves—how similar curves in a group are to one another. Any suggestions on how to do this?

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Sameer Khanna
Sameer Khanna
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Clustering a set of curves

I am right now working with a MRI dataset where we inject dye into a person's wrist and measure intensity per time on a voxel-by-voxel basis.

I am trying to determine if it is possible to identify certain tissues based upon their curve similarity (they have unique looking intensity curves).

Currently I am using Euclidean Distance k-means in order to try this. The data seems to look ok, but I need a way to determine uniformity between curves - how similar are curves in a group to one another.

Any suggestions on how to do this?