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Updated: May 13, 2026

DUCT: Double Resin Casting followed by Micro-Computed Tomography for 3D Liver Analysis
Published on: September 28, 2021
Optimum CT reconstruction parameters for vascular and hepatocellular carcinoma models in a liver phantom with
Kazuhiro Murotani1, Murotani Kazuhiro, Nobuyuki Kawai
1Department of Radiology, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama 641-8510, Japan.
Abstract:
We quantified to clarify the optimum factors for CT image reconstruction of an enhanced hepatocellular carcinoma (HCC) model in a liver phantom obtained by multi-level dynamic computed tomography (M-LDCT) with 64 detector rows. After M-LDCT scanning of a water phantom and an enhanced HCC model, we compared the standard deviation (SD, 1 ± SD), noise power spectrum (NPS) values, contrast-noise ratios (CNR), and the M-LDCT image among the reconstruction parameters, including the convolution kernel (FC11, FC13, and FC15), post-processing quantum filters (2D-Q00, 2D-Q01, and 2D-Q02) and slice thicknesses/slice intervals. The SD and NPS values were lowest with FC11 and 2D-Q02. The CNR values were highest with 2D-Q02. The M-LDCT image quality was highest with FC11 and 2D-Q02, and with slice thicknesses/slice intervals of 0.5 mm/0.5 mm and 0.5 mm/0.25 mm. The optimum factors were the FC11 convolution kernel, 2D-Q02 quantum filter, and 0.5 mm slice thickness/0.5 mm slice interval or less.
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