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Clinical Trial Summary

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 and shorter pulses are used, which are known to positively influence image quality . The final effect on the clinical image quality is investigated in this study.


Clinical Trial Description

The advent of interventional neuroradiology (INR) has changed the treatment of neurovascular diseases by reducing the procedural invasiveness and the recovery time needed by patients, thus improving clinical outcome. However, INR procedures often require many high-quality digital substraction angiography (DSA) runs and long total fluoroscopy times, which can result in patients being exposed to considerable radiation doses levels.

In order to introduce a dose reduction technology the most important aspect is to validate the diagnostic image information. Philips has developed a real-time noise reduction algorithm for DSA in neuroradiology that is capable to reduce the patient entrance dose by 75% without loss of image quality. ;


Study Design

Allocation: Non-Randomized, Intervention Model: Crossover Assignment, Masking: Double Blind (Investigator, Outcomes Assessor), Primary Purpose: Diagnostic


Related Conditions & MeSH terms


NCT number NCT01381952
Study type Interventional
Source Karolinska University Hospital
Contact
Status Completed
Phase N/A
Start date June 2011
Completion date September 2011

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