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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
The growing adoption of Digital Twin (DT) technologies in healthcare highlights the need to define how medical imaging tools (physical and digital phantoms, real and simulated CT studies, etc.) integrate with the virtual components of DTs. A recently introduc...
To retrospectively identify potential x-ray anode overheating events and to prospectively design protocols and policies to mitigate heat-related risks that can lead to tube downtime and workflow disruption.
General radiography lacks a clinically relevant, vendor-agnostic metric to indicate for-presentation image quality across anatomical views. While exposure index is commonly used to indicate exposure appropriateness, it is biased by vendor-specific region-of-i...
To enable consistent COPD quantification in multi-center studies across energy-integrating (EICT) and photon-counting (PCCT) CT technologies, using a physics-based image harmonization technique.
Image noise is a fundamental determinant of CT image quality and directly impacts diagnostic performance. Conventional noise metrics are typically global and do not account for spatial or organ-specific variations introduced by modern CT techniques such as tu...
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