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This issue describes the application of the r20240523 model (for dorsal and ventral rootlets) on T2*w axial images (0.35 x 0.35 x 2.5mm) of C spine from the dcm-brno dataset (to be shared soon - #326). The model has been tested on a few subjects from this dataset.
Here are examples of its use on a healthy subject and a subject with compression:
Example of healthy subject:
In this subject, the model segmented the rootlets quite well, but the spinal level order doesn't match - see below:
Example of a subject with compression:
In this subject, the model does not preform well (spinal level does not match) - see below:
The text was updated successfully, but these errors were encountered:
Thanks for testing the model @KaterinaKrejci231054! The healthy subject does not look too bad at first glance! (especially considering the fact that the model was trained on T2w isotropic images (and not T2*w anisotropic ones)).
If we decide to extend (fine-tune?) the model for T2*w anisotropic images, we already have a lot of datasets to work with.
valosekj
changed the title
Try model-spinal-rootlets on dcm-brno dataset
Testing cervical model on dcm-brno dataset
Jun 21, 2024
This issue describes the application of the r20240523 model (for dorsal and ventral rootlets) on T2*w axial images (0.35 x 0.35 x 2.5mm) of C spine from the
dcm-brno
dataset (to be shared soon - #326). The model has been tested on a few subjects from this dataset.Here are examples of its use on a healthy subject and a subject with compression:
Example of healthy subject:
Example of a subject with compression:
The text was updated successfully, but these errors were encountered: