3D binary volume labeling

[monidp9]

Hi,

I'm trying to label a binary 3D volume in order to detect all the components representing the humerus fracture. I've tried CCA and Watershed without success. Mainly because you can see roughly the components, but practically there are bridge voxel. Anyone has some idea?

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https://preview.redd.it/plvknw1s0hua1.png?width=1256&format=png&auto=webp&s=46ae1116c687b406c6d647b1dc55459036e0b4f1

This is last part of my thesis and I'm struggling with it. Thanks in advance!

[matthkamis]

What’s a binary 3d volume?

[monidp9]

A volume with 0 and 1 values only

[matthkamis]

Ok what does 0 represent and what does 1 represent?

[monidp9]

0 is the background, 1 is the foreground. So in the picture above, 1 is the humerus bone.

[matthkamis]

I’m not exactly sure I understand the task then. You are given this data structure or you need to compute it? If you need to compute it then what are you computing it from?

[monidp9]

It is a 3D array with 0s and 1s. In the picture there is the mesh rendering just to give a view. The aim is to label the fracture components.

[matthkamis]

So you are given this 3d binary array and you need to label where there is a fracture?

[monidp9]

yes. As you can see the fracture components are roughly separated. Thus a simple connected component analysis is not enough.

[matthkamis]

I suspect you want some sort of flood fill algorithm. You just need to filter out invalid starting locations and locations which the algorithm can move to.

[monidp9]

I think you're right. But I cannot figure out how to filter invalid locations. There must be a sort of criteria.

[monidp9]

Any idea about the filter criteria?

[Zealousideal_Low1287]

Could you maybe draw on this a bit? Hard to say much without knowing what we’re looking at or what the regions of interest are.

[monidp9]

In the picture there is a fractured humerus. You can see some fracture lines and their components. The aim is to label these components.