Respiratory signal estimation for cardiac perfusion SPECT using deep learning
Yuan Chen,
P. Hendrik Pretorius,
Clifford Lindsay
et al.
Abstract:BackgroundRespiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Correction for respiratory motion often relies on a respiratory signal describing the heart displacements during breathing. However, using external tracking devices to estimate respiratory signals can add cost and operational complications in a clinical setting.PurposeWe aim to develop a deep learning (DL) approach that uses only SPECT projection data for respiratory signal estimation.MethodsA modified U‐Net was imp… Show more
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