Hi,
I’m working on MRI to segment cheek fat volume and often I have one serie of few images for axial axe, one serie for coronal axe, one serie for sagittal axe (for one patient, one IRM). To get a better volume segmentation I would like to stitch these series. Stitch volume module can help me to match differents axes or it is for differents series of the same axe?
As currently written, the Stitch Volumes module only works for stitching together image volumes which are distributed along one axis (like a series of CT or MR volumes taken at different table position stations). Trying to combine overlapping MR imaging with higher resolution in differing orientations is a very different problem and would require a different approach. This is a common desire because this is often how clinical imaging is collected, but there is not a commonly-used, effective way to generate a high resolution volume from multiple anisotropic image volumes (at least not that I am aware of).
Here are some links to other discussions where someone wanted to do this where you can find some explanations and suggestions:
Actually, I have a solution to these to this problem, but should i tell it or not because like literally spent over more than 46 hours for solving this problem. But i can give u a hint that , try to think this problem as an vein diagram. You will find its solution for sure. Thanks
I am trying to create a 3D model of my brain. I am using Swiss Skull Stripper, but I am not able to do it properly. It looks like lego brain. My MRI data seem to be divided into several groups (for example: right side, left side, front side, etc.).
When I use 3D Slicer, it only uses one group and tries to create the 3D model from images taken from a single direction. Because of this, I think the process does not work correctly.
I am attaching some screenshots from the application. When I select a group, only one view has good resolution; the other views appear to reuse the same images from one side.
Could someone please help me understand how to do this correctly?
I can see exactly what’s happening here. The issue isn’t with Swiss Skull Stripper itself, it’s that you’re running it on the wrong sequence. Looking at your data, not all your MRI sequences are suitable for 3D reconstruction, and selecting the right one makes all the difference between a “lego brain” and a clean model.
The good news is you actually have the right data for a proper 3D brain model in your dataset, it just needs to be identified and processed correctly.
I do this kind of work professionally. If you’d like it done properly without the trial and error you can dm me.
Thank you for your response. I’d really appreciate your help with this. However, I don’t see an option to send you a direct message here. Could you please let me know how I can contact you?