Quantitative analysis of an enlarged area Solid State X-ray Image Intensifier (SSXII) detector based on Electron...

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Radiology

Background:

• Neurovascular treatments require high-resolution imaging for precise guidance of small devices like stents and coils.
• Current Flat Panel Detectors (FPDs) may not meet the resolution demands for complex endovascular procedures.
• Developing advanced imaging technology is crucial for improving the safety and efficacy of neurovascular interventions.

Purpose of the Study:

• To develop and characterize a novel high-resolution X-ray detector based on Electron-Multiplying Charge-Coupled Device (EMCCD) technology.
• To evaluate the detector's performance metrics, including gain, noise, and spatial resolution.
• To demonstrate the detector's utility in a simulated clinical scenario for neurovascular interventions.

Main Methods:

• Utilized EMCCD technology with a fiber-optic taper to achieve an effective pixel size of 37 µm.
• Performed quantitative analysis including gain calibration, Noise Equivalent Exposure (NEE) determination, and Modulation Transfer Function (MTF) measurement.
• Cooled the detector to 5°C to optimize gain and noise performance.
• Evaluated the detector using an aneurysm model and an anthropomorphic head phantom under fluoroscopic guidance.

Main Results:

• Achieved a relative gain of 116 times at 5°C.
• Measured a low Noise Equivalent Exposure (NEE) of 0.6 µR/frame at maximum gain.
• Demonstrated a Modulation Transfer Function (MTF) exceeding 2% up to 7 cycles/mm, significantly higher than FPDs.
• Successfully visualized coil deployment in an aneurysm model using fluoroscopic guidance.

Conclusions:

• The developed EMCCD-based X-ray detector offers significantly higher resolution compared to state-of-the-art FPDs for neurovascular applications.
• The detector's performance metrics (high gain, low noise, high MTF) are suitable for guiding fine endovascular devices.
• This technology has the potential to enhance the precision and safety of interventional neurovascular procedures.