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

•Deep learning image reconstruction enhances CT image quality and saves radiation dose.•Deep learning image reconstruction reduces noise while maintaining noise texture.•Deep learning image reconstruction maintains low- and high-contrast spatial resolution.•Deep learning image reconstruction improves low- and high-contrast detectability.•Deep learning image reconstruction outperforms partial model-based iterative reconstruction.