Image Quality of the Coronary Angiography with Noise Reduction Technology to Decrease the Radiation Dose

Area of Science:

• Medical Imaging
• Radiology
• Cardiovascular Interventions

Background:

• Angiography is crucial for diagnosing and treating coronary artery disease.
• Reducing radiation exposure during angiography is a key clinical goal.
• Noise reduction algorithms offer potential for dose optimization.

Purpose of the Study:

• To evaluate the impact of a reduced radiation dose, enabled by a noise reduction algorithm, on image quality in angiography.
• To determine the feasibility of clinical application of dose reduction in patients undergoing percutaneous coronary intervention (PCI).

Main Methods:

• Image quality was assessed using a contrast-detail (C-D) phantom to compare the discrimination limit diameter between the new method and conventional angiography.
• A noise reduction algorithm was applied to reduce radiation exposure.
• The method was clinically validated on patients undergoing follow-up after PCI.

Main Results:

• The noise reduction method successfully reduced radiation dose to the flat panel detector (FPD) to 70 nGy per frame.
• Clinical application achieved an approximate 40% reduction in radiation dose compared to conventional methods.
• Image quality was maintained at a level nearly equivalent to the conventional method.

Conclusions:

• The noise reduction algorithm enables significant radiation dose reduction in angiography.
• This technology can be clinically applied to patients undergoing PCI without compromising diagnostic image quality.
• This approach contributes to safer cardiovascular interventions through optimized radiation exposure.