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Diagnostic Performance in Low- and High-Contrast Tasks of an Image-Based Denoising Algorithm Applied to Radiation Dose–Reduced Multiphase Abdominal CT Examinations

Akitoshi Inoue, Benjamin Voß, Nam Ju Lee, Hiroaki Takahashi, Kazuto Kozaka, Jay P. Heiken, Eric C. Ehman, Rogerio N. Vasconcelos, Jeff L. Fidler, Yong S. Lee, Achille Mileto, Matthew P. Johnson, Matthias Baer‐Beck, Nikkole M. Weber, Gregory J. Michalak, Ahmed F. Halaweish, Rickey E. Carter, Cynthia H. McCollough, Joel G. Fletcher

2022American Journal of Roentgenology13 citationsDOI

Abstract

The image-based denoising algorithm facilitates radiation dose reduction of multiphase examinations for both low- and high-contrast diagnostic tasks without requiring manufacturer-specific hardware or software.

Topics & Concepts

MedicineNoise reductionContrast (vision)Radon transformIterative reconstructionRadiologyAttenuationNuclear medicineAlgorithmArtificial intelligenceComputer scienceOpticsPhysicsAdvanced X-ray and CT ImagingRadiation Dose and ImagingMedical Imaging Techniques and Applications
Diagnostic Performance in Low- and High-Contrast Tasks of an Image-Based Denoising Algorithm Applied to Radiation Dose–Reduced Multiphase Abdominal CT Examinations | Litcius