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ClarityIQ is a novel X-ray imaging technology, that combines advanced real-time image noise reduction algorithms, with state-of-the-art hardware to reduce patient entrance dose significantly. This is realized by anatomy-specific optimization of the full acquisition chain (grid switch, beam filtering, pulse width, spot size, detector and image processing engine) for every clinical task individually. Furthermore, smaller focal spot sizes, shorter pulses and the introduction of automatic real-time motion compensation in subtraction imaging are used, which are known to positively influence image quality . The final effect on the clinical image quality in peripheral angiography is investigated in this study.
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X-ray dose and image quality are related by laws of physics. Low dose and high image quality cannot be achieved at the same time. However, image processing algorithms can help an x-ray system to acquire images with lower dose without influencing image quality or achieving higher image quality with equal dose. The primary aim of this study is to verify if the diagnostic image quality is equal or better when using a significant reduction in X-ray dose for endovascular digital subtraction angiography in combination with a novel imaging technology compared to using normal dose with conventional image technology.
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51 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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