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Unsupervised Landmark Detection Based Motion Estimation for Dynamic Medical Images

Dynamic medical imaging in 4D typically requires motion estimation of the organs. With respect to the spatial-temporal information of the 3D volume sampled over multiple time points, one may assess structural and functional property of the target organ. Our early study in CVPR 2020 shows that, with limited number of temporally sampled phase images, one can reconstruct the organ motion trajectory of high resolution both spatially and temporally, via interpolation in a well-encoded latent space.

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