Automatic chest computed tomography image noise quantification using deep learning

Computed tomography (CT) is one of the primary volumetric imaging modalities used in radiology. This popularity is based on the continuous technical development and versatility of clinical applications offering fast scans with high spatial resolution and large anatomical coverage [1]. Owing to this, CT contributes approximately 70  % of the cumulative radiation exposure to patients in diagnostic imaging [2]. Concerns about radiation dose burden have accelerated the technical development of optimization methods to enable CT scans with the most beneficial balance between image quality (IQ) and radiation dose [3,4].

Source: Physica Medica: European Journal of Medical Physics - December 1, 2023 Category: General Medicine Authors: Juuso H.J. Ketola, Satu I. Inkinen, Teemu M äkelä, Touko Kaasalainen, Juha I. Peltonen, Marko Kangasniemi, Kirsi Volmonen, Mika Kortesniemi Source Type: research