Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study

Computed tomography (CT) has evolved into an unrivaled diagnostic tool in many diseases and clinical scenarios, owing in particular to its wide availability, speed and diagnostic performance. In fact, almost a third of CT examinations involve the abdomen, and abdominal and pelvic CT has become a key player in the diagnosis and management of patients with acute abdominal pain [1]. However, its numerous benefits are overshadowed by constant radiation dose concerns – particularly in younger patients or those undergoing repeated CT scans [2,3] – considering that CT contributes more than half of the population’s radiation exposure from medical imaging in Western countries [4].
Source: Physica Medica: European Journal of Medical Physics - Category: General Medicine Authors: Tags: Original paper Source Type: research