Neuro-EIGIs require visualization of very small endovascular devices and small
vessels. A Microangiographic Fluoroscope (MAF) x-ray detector was developed to improve on
the standard flat panel detector’s (FPD’s) ability to visualize small
objects during neuro-EIGIs. To compare the performance of FPD and MAF imaging systems,
specific imaging tasks related to those encountered during neuro-EIGIs were used to assess
contrast to noise ratio (CNR) of different objects. A bar phantom and a stent were placed
at a fixed distance from the x-ray focal spot to mimic a clinical imaging geometry and
both objects were imaged by each detector system. Imaging was done without anti-scatter
grids and using the same conditions for each system including: the same x-ray beam
quality, collimator position, source to imager distance (SID), and source to object
distance (SOD). For each object, relative contrasts were found for both imaging systems
using the peak and trough signals. The relative noise was found using mean background
signal and background noise for varying detector exposures. Next, the CNRs were found for
these values for each object imaged and for each imaging system used. A relative CNR
metric is defined and used to compare detector imaging performance. The MAF utilizes a
temporal filter to reduce the overall image noise. The effects of using this filter with
the MAF while imaging the clinical object’s CNRs are reported. The relative CNR
for the detectors demonstrated that the MAF has superior CNRs for most objects and
exposures investigated for this specific imaging task.