Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trial.

Purpose : Although SPECT myocardial perfusion imaging (MPI) is susceptible to artifacts from soft tissue attenuation, most scans are performed without attenuation correction. Deep learning-based attenuation corrected (DLAC) polar maps improved diagnostic accuracy for detection of coronary artery dis...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 4; pp. 1028 - 1034
Main Authors:	Hagio, Tomoe, Moody, Jonathan B., Poitrasson-Rivière, Alexis, Renaud, Jennifer M., Pierce, Lora, Buckley, Christopher, Ficaro, Edward P., Murthy, Venkatesh L.
Format:	Journal Article
Published:	Springer Nature Mar2023
Online Access:	View this record in EBSCOhost