A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms

The main concern in computed tomography (CT) examinations is the reduction of delivered dose to patients while improving the image quality. Thus, during the last years, several attempts have been made to optimise CT acquisition protocols and to develop new CT technologies [1 –5]. For many years, filtered back-projection (FBP) has been the main algorithm employed in image reconstruction until the development of Iterative Reconstruction (IR) which was mainly driven by advances in computational ability [6].
Source: Physica Medica: European Journal of Medical Physics - Category: General Medicine Authors: Tags: Original paper Source Type: research