Recently, several kinds of post-processing image filters which reduce the noise of computed tomography (CT) images
have been proposed. However, these image filters are mostly for adults. Because these are not very effective in small (<
20 cm) display fields of view (FOV), we cannot use them for pediatric body images (e.g., premature babies and infant
children). We have developed a new noise reduction filter algorithm for pediatric body CT images. This algorithm is
based on a 3D post-processing in which the output pixel values are calculated by nonlinear interpolation in z-directions
on original volumetric-data-sets. This algorithm does not need the in-plane (axial plane) processing, so the spatial
resolution does not change. From the phantom studies, our algorithm could reduce SD up to 40% without affecting the
spatial resolution of x-y plane and z-axis, and improved the CNR up to 30%. This newly developed filter algorithm will
be useful for the diagnosis and radiation dose reduction of the pediatric body CT images.
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