Using a commercial clinical CT scanner (GE lightspeed), nine CT scans were performed on a 20 cm diameter plastic
pipe filled with water. The mAs was varied from 10 to 400mAs and the beam energy was varied from 80 to140kVp. For
each scan three volume datasets were reconstructed using different filters. Noise power spectrum (NPS) curves were
measured to examine the effect of varying kVp, mAs and reconstruction filter on the noise content. Sixteen slices from
each of the reconstructed volumes were used to compute the NPS; the central 192x192 pixels of each slice were split into
four overlapping regions of interest (ROI) of 128x128 pixels. A total of 64 ROI were used per scan. The magnitude
squared of the 2D Fourier transform of each ROI was computed. The mean of the 64 2D results was averaged over radial
frequency, yielding a 1D NPS. The overall shape of the NPS was dependent on the reconstruction filter used. The
magnitude of the curves decreased with the increase of mAs or kVp. kVp, mAs, and the reconstruction filter can be
adjusted to modulate the amount of noise present in resulting CT volumes, but the effect these values have on the patient
must be considered. The relationship between NPS and the Noise Equivalent Quanta (NEQ) makes trends in NPS
important and is the motivation for this evaluation and future research.
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