Publications by authors named "Markus Sistermanns"
Article Synopsis
- The study examines a novel AI algorithm designed to improve the detection of pulmonary nodules on chest radiographs, which are often missed by traditional methods. !* -
- Researchers used 100 chest images from patients to test the AI's effectiveness, comparing its performance with that of trained radiologists in both unaided and AI-assisted modes. !* -
- Results showed that the AI-enhanced interpretation increased detection accuracy of lung nodules by 6.4%, suggesting that AI tools could significantly aid radiologists in identifying early lung cancers. !*
Purpose: The technically caused delay between low-energy (LE) and high-energy (HE) acquisitions allows motion artifacts in contrast-enhanced dual-energy mammography (CEDEM). In this study the effect of motion correction by nonrigid registration on image quality of the recombined images was investigated.
Materials And Methods: Retrospectively for 354 recombined CEDEM images an additional recombined image was processed from the raw data of LE and HE images using the motion correction algorithm.