An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging

<div>IBG-Net architecture. The network is fed a nongated IVUS/OCT image sequence and outputs a gated image sequence. It consists of a UFL module and a GFE module. The UFL module is used to extract feature vectors from the input series of images frame by frame. The GFE module is used to detect gating frames by comparing the dissimilarity of the feature vectors.</div>

IET Signal Processing

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Figure 2: An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging 