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abrilcf / mednerf

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CT generation

dsitnik-mango opened this issue · comments

commented

Hi,

Thanks for the code! Is it possible to predict a CT volume instead of different views (DRRs) once the network is trained?

I want to give the trained network a single DRR and predict a volume cube. Is that possible with your model? If not, where should I make the modifications?

Thank you for your help in advance!
Dario

commented

Hi @dsitnik-mango! Did you manage to figure out if this is possible with the model? If yes, could you guide me on the same? If not, were there any other papers with code that could do this? Thanks!

commented

@ro1406 With this model, not yet...let me know if you find a solution

commented

@dsitnik-mango Sure. Is there another model you were able to find that generates 3D volumes from a 2D input? If so I'd appreciate it if you could share the repo :)

commented

I also have the same question. But could we do marching cubes with the well-trained generative model? FYI: build a voxel grids, query coordinates density value, and then form a 3D CT volume.