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Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations. (arXiv:2209.05778v1 [cs.CV])
Sept. 14, 2022, 1:14 a.m. | Sven Koehler, Tarique Hussain, Hamza Hussain, Daniel Young, Samir Sarikouch, Thomas Pickhardt, Gerald Greil, Sandy Engelhardt
cs.CV updates on arXiv.org arxiv.org
Cardiac magnetic resonance (CMR) sequences visualise the cardiac function
voxel-wise over time. Simultaneously, deep learning-based deformable image
registration is able to estimate discrete vector fields which warp one time
step of a CMR sequence to the following in a self-supervised manner. However,
despite the rich source of information included in these 3D+t vector fields, a
standardised interpretation is challenging and the clinical applications remain
limited so far. In this work, we show how to efficiently use a deformable
vector field …
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