Objective
The aim of this study was to investigate the noise power properties of a micro computed tomography (micro-CT) system under different operating conditions.
Methods
A commercial micro-CT was utilized in the study that employed a flat panel detector with a 127 µm pixel pitch, and a micro focus x-ray tube. Conical tubes of various diameters were used under different acquisition conditions. Multidimensional noise power spectrums (NPS) were used as a metric to investigate the noise properties of the system. NPS was calculated from the difference data generated by subtraction of two identical scans. The noise properties with respect to various parameters that include the impact of number of projections, x-ray spectra, mAs, slice location, object diameter, voxel size, geometric magnification (M), back projection filters and reconstruction magnification (MRecon) were studied.
Results
At a same isocentric exposure rate of 270 mR/s, the noise power was much lower for the image reconstructed with 3672 views (122 s) as compared to the 511 views (17 s); while at a fixed isocentric exposure of 4600 mR, the noise power levels were almost similar. Image noise with a 50 kV beam was higher as compared to the 90 kV beam at a same isocentric exposure. Image noise from a 16 mm diameter conical tube was much lower as compared to the 28 mm and 56 mm tubes under identical isocentric exposures. The choice of back-projection filter influence NPS curves in terms of width and amplitudes. MRecon applied during the reconstruction process increased the noise power at lower spatial frequencies while reduced the noise power at higher spatial frequencies. It can be established that for small details corresponding to high spatial frequencies, MRecon can provide an improved SNR. At all spatial frequencies, the in-plane images had lower noise power levels as compared to the z-plane images.
Conclusion
The noise power properties investigated in this study provide important image quality references for refined cone beam system development, optimization and operations.