Ultra-fast whole-body bone tomoscintigraphies achieved with a high-sensitivity 360° CZT camera and a dedicated deep-learning noise reduction algorithm.

Achraf Bahloul^1,2, Antoine Verger^1,2, Yechiel Lamash³, Nathaniel Roth³, Diawad Dari¹, Pierre-Yves Marie^1,2, Laetitia Imbert^4,5

¹CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep imaging platform, Université de Lorraine, Nancy, France.

²INSERM, IADI U1254, Université de Lorraine, Vandoeuvre-lès-Nancy, France.

³Spectrum Dynamics Medical, Caesarea, Israel.

⁴CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep imaging platform, Université de Lorraine, Nancy, France. l.imbert@chru-nancy.fr.

⁵INSERM, IADI U1254, Université de Lorraine, Vandoeuvre-lès-Nancy, France. l.imbert@chru-nancy.fr.

PubMed DOI

Abstract

UNLABELLED: This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 min, routinely provided by a high-sensitivity 360° cadmium and zinc telluride (CZT) camera, can be further reduced by a deep-learning noise reduction (DLNR) algorithm. METHODS: DLNR was applied on whole-body images recorded after the injection of 54…

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