Thanks for the great work and the released code! I am very interested in your work and have tried to reimplement the work and results. During the reimplementation, I encountered an issue and hope you could clarify it for me.
As shown in the paper, the 3D CTA images were all like blood vessel segmentation masks. However, the released CTA images 0000.nii.gz or the CTA patches extracted from the dataset_af_balanced_test.pkl are intensity images with value range [-100, 500]. Could you share the method that was used to segment the 3D CTA intensity images to 3D CTA vessel segmentation masks? Also, what visualization tools or methods you used to show the CTA images so that it can be visualized as the one you presented in the paper?
Thank you very much for your time and consideration. I am looking forward to your response.
Hi,
Thanks for the great work and the released code! I am very interested in your work and have tried to reimplement the work and results. During the reimplementation, I encountered an issue and hope you could clarify it for me.
As shown in the paper, the 3D CTA images were all like blood vessel segmentation masks. However, the released CTA images 0000.nii.gz or the CTA patches extracted from the dataset_af_balanced_test.pkl are intensity images with value range [-100, 500]. Could you share the method that was used to segment the 3D CTA intensity images to 3D CTA vessel segmentation masks? Also, what visualization tools or methods you used to show the CTA images so that it can be visualized as the one you presented in the paper?
Thank you very much for your time and consideration. I am looking forward to your response.