A Third-Generation Adaptive Statistical Iterative Reconstruction for Contrast-Enhanced 4-Dimensional Dual-Energy Computed Tomography for Pancreatic Cancer
A Third-Generation Adaptive Statistical Iterative Reconstruction for Contrast-Enhanced 4-Dimensional Dual-Energy Computed Tomography for Pancreatic Cancer
复制标题
用于胰腺癌增强 4 维双能计算机断层扫描的第三代自适应统计迭代重建
DOI:
10.1097/rct.0000000000000942
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发表时间:
2021
影响因子:
1.3
通讯作者:
Teshima Teruki
中科院分区:
文献类型:
--
作者:
Ohira Shingo;Kanayama Naoyuki;Wada Kentaro;Washio Hayate;Karino Tsukasa;Ueda Yoshihiro;Inui Shoki;Miyazaki Masayoshi;Koizumi Masahiko;Teshima Teruki
ObjectivesThe objective of this study was to assess the objective and subjective qualities of the contrast-enhanced 4-dimensional dual-energy computed tomography using adaptive statistical iterative reconstruction (ASiR) and ASiR-V.MethodsThe virtual monochromatic images at 60 keV were reconstructed using filtered back projection, ASiR, and ASiR-V (10%–100%) for 14 patients with pancreatic cancer. The contrast-to-noise ratio (CNR) was calculated, and the subjective measurements were compared based on a 5-point score scale.ResultsThe ASiR-V yielded a significantly higher CNR than ASiR (P< 0.05). The subjective image quality (peak) was significantly improved (P< 0.01) with ASiR (50%)(3.8, 3.5, and 4.0; overall image quality, tumor delineation, and noise, respectively) and with ASiR-V (50%)(3.9, 3.5, and 4.2, respectively) compared with the filtered back projection (3.2, 3.2, and 3.0, respectively).ConclusionsThe ASiR-V yielded higher CNR than ASiR and provided the highest subjective scores regarding the overall image quality.