This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 minutes, routinely provided by a high-sensitivity 360 degrees cadmium and zinc telluride (CZT) camera, can be further reduced by a deep learning noise reduction (DLNR) algorithm.
This study aimed to determine the extent to which fast whole-body bone-SPECT recording times, routinely obtained with a high-sensitivity 360 degrees CZT-camera and rather low injected activities, can be further reduced using the DLNR algorithm.
Study Type
OBSERVATIONAL
Enrollment
19
Cancer patients referred to fast whole-body bone for detection or follow-up of bone metastasis were retrospectively included in this study.
CHRU Nancy
Vandœuvre-lès-Nancy, France
Assess a dedicated deep learning noise reduction algorithm
A deep learning noise reduction algorithm was applied on whole-body images recorded
Time frame: one day
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