Development of adaptive noise reduction filter algorithm for pediatric body images in a multi-detector CT

Eiji Nishimaru; Katsuhiro Ichikawa; Izumi Okita; Yuuji Ninomiya; Yukihiro Tomoshige; Takehiro Kurokawa; Yutaka Ono; Yuko Nakamura; Masayuki Suzuki M.D.

doi:10.1117/12.769739

11 March 2008 Development of adaptive noise reduction filter algorithm for pediatric body images in a multi-detector CT

Eiji Nishimaru, Katsuhiro Ichikawa, Izumi Okita, Yuuji Ninomiya, Yukihiro Tomoshige, Takehiro Kurokawa, Yutaka Ono, Yuko Nakamura, Masayuki Suzuki M.D.

Author Affiliations +

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 691421 (2008) https://doi.org/10.1117/12.769739
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

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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Eiji Nishimaru, Katsuhiro Ichikawa, Izumi Okita, Yuuji Ninomiya, Yukihiro Tomoshige, Takehiro Kurokawa, Yutaka Ono, Yuko Nakamura, and Masayuki Suzuki M.D. "Development of adaptive noise reduction filter algorithm for pediatric body images in a multi-detector CT", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 691421 (11 March 2008); https://doi.org/10.1117/12.769739

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KEYWORDS

Image filtering

Computed tomography

Image processing

Algorithm development

Digital filtering

Spatial resolution

Denoising

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