Value of vendor-agnostic deep learning image denoising in brain computed tomography: A multi-scanner study
Christian Kapper,
Lukas Müller,
Andrea Kronfeld
et al.
Abstract:To evaluate the effect of a vendor-agnostic deep learning denoising (DLD) algorithm on diagnostic image quality of non-contrast cranial computed tomography (ncCT) across five CT scanners.This retrospective single-center study included ncCT data of 150 consecutive patients (30 for each of the five scanners) who had undergone routine imaging after minor head trauma. The images were reconstructed using filtered back projection (FBP) and a vendor-agnostic DLD method. Using a 4-point Likert scale, three readers per… Show more
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