P Hendrik Pretorius, Junchi Liu, Kesava S Kalluri, Yulei Jiang, Jeffery A Leppo, Seth T Dahlberg, Janusz Kikut, Matthew W Parker, Friederike K Keating, Robert Licho, Benjamin Auer, Clifford Lindsay, Arda Konik, Yongyi Yang, Miles N Wernick, Michael A King
BACKGROUND: The aim of this research was to asses perfusion-defect detection-accuracy by human observers as a function of reduced-counts for 3D Gaussian post-reconstruction filtering vs deep learning (DL) denoising to determine if there was improved performance with DL. METHODS: SPECT projection data of 156 normally interpreted patients were used for these studies. Half were altered to include hybrid perfusion defects with defect presence and location known. Ordered-subset expectation-maximization (OSEM) reconstruction was employed with the optional correction of attenuation (AC) and scatter (SC) in addition to distance-dependent resolution (RC)...
December 2023: Journal of Nuclear Cardiology