A fully automated machine learning-based methodology for personalized radiation dose assessment in thoracic and abdomen CT

Computed tomography (CT) constitutes one of the most frequently used medical imaging modalities. It is a powerful diagnostic tool for many different clinical indications. Therefore, the rising trend in CT utilization comes as no surprise [1 –4]. CT comprises the largest source of medical exposure and CT scans make up over half of the collective dose from imaging procedures [5]. In many cases, patients undergo multiple CT examinations within short time intervals [6]. To minimize the radiation burden, institutions should evaluate the i mplemented techniques and develop optimized examination protocols.

Source: Physica Medica: European Journal of Medical Physics - December 4, 2023 Category: General Medicine Authors: Eleftherios Tzanis, John Stratakis, Marios Myronakis, John Damilakis Source Type: research