Introduction
AI reconstruction algorithms denoise and deartifact low dose CT images to maintain diagnostic utility. These methods can enable substantial dose reductions for routine and screening exams. Validation against standard iterative reconstruction is essential for clinical trust.
Clinical Benefits
Lower dose CT reduces patient radiation risk while preserving lesion conspicuity for many indications. Screening programs and serial follow up studies particularly benefit from dose savings. Radiologists must be aware of algorithm specific texture changes and potential failure modes.
Validation and QA
Local validation across scanner models and patient sizes ensures consistent performance and avoids unexpected artifacts. Phantom testing and reader studies help quantify diagnostic equivalence. Ongoing monitoring detects performance drift after software updates or changes in acquisition.
Operational Integration
Integrate AI reconstruction into PACS and workflow with clear labeling of algorithm use and versioning. Train technologists and radiologists on expected image appearance and limitations. Establish rollback procedures in case of unexpected image quality issues.