Publication: Assessment of the impact of computed tomography (CT) slice thickness on image noise and noise power spectrum (NPS)
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Date
2025-07
Authors
Nadzim, Akma Fatiny Mohammad
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Abstract
Slice thickness in computed tomography (CT) plays a critical role in image quality and diagnostic accuracy. This study aims to assess the impact of CT slice thickness on image noise and the Noise Power Spectrum (NPS) using the IndoQCT software. CT images were acquired using a water phantom at various slice thicknesses, and the resulting data were analyzed using the image analysis module in IndoQCT. Image noise was evaluated by calculating the standard deviation within a uniform region of interest, while the NPS was computed to examine the frequency distribution of the noise. The findings indicate that varying slice thickness significantly affects the level of image noise and its frequency characteristics. Thinner slices tend to produce images with higher noise but better spatial resolution, whereas thicker slices reduce noise at the expense of image detail. In this project, a water phantom was scanned using varying slice thicknesses ranging from 0.6 mm to 10 mm. The resulting images were analysed using IndoQCT software to quantify image noise and evaluate the NPS across the different slice thicknesses. Image noise was measured in terms of standard deviation within a uniform region of interest, while the NPS was used to characterise the spatial frequency distribution of the noise. These results are essential for determining the optimal slice thickness for quality control and clinical scanning purpose.
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