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Hi @qwang0225, You could consider using SynthSeg to create "ground-truth" anatomy labels on MR images and then train an AI model to replicate what SynthSeg does on the modality you wish. Hope this helps, |
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I have a MRI brain dataset including DWI, ADC and FLAIR sequences with stroke lesions. I'm able to segment lesion from DWI/ADC. My next step is to determine if the lesion involves certain brain structure called insula. My plan was to segment insula separately and then compute if my insula masks and lesions masks overlap on the same DWI images.
The challenge I'm facing is I'm not sure how to conduct insula segmentation. Because DWI has poor image resolution, I would have to manually segment insula on FLAIR then register onto DWI to get insula mask on DWI. Is that the right approach? Is there easier way to do this? I know monai zoo has a whole brain segmentation model, but it's trained on T1.
Thanks
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