利用噪声优化的虚拟单能图像重建挽救低对比腹部CT研究。

BJR open Pub Date : 2022-01-01 DOI:10.1259/bjro.20220006
Scherwin Mahmoudi, Marvin Lange, Lukas Lenga, Ibrahim Yel, Vitali Koch, Christian Booz, Simon Martin, Simon Bernatz, Thomas Vogl, Moritz Albrecht, Jan-Erik Scholtz
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引用次数: 1

摘要

目的:评估噪声优化虚拟单能成像(VMI+)对门静脉造影受损腹部双能CT扫描图像质量和诊断评价的影响。方法:筛选2014年8月至2019年11月期间接受门静脉腹腔双能CT检查癌症分期的11746例患者,并筛选出门静脉造影差的患者。重建40、50、60 keV下的标准线性混合图像序列和VMI+图像序列。计算腹部脏器和血管结构的信噪比(SNR)和比噪比(CNR)。图像噪声、图像对比度和整体图像质量由三位放射科医生使用5分李克特量表进行评分。结果:11,746例检查中452例(4%)表现为低浊。由于数据集不完整或同一患者多次检查,我们排除了190例病例,最终研究组为262例。所有腹部器官的CNR值最高(肝脏,6.4±3.0;肾,17.4±7.5;脾脏,8.0±3.5)和血管结构(主动脉,16.0±7.3;肝内静脉,11.3±4.7;门静脉(15.5±6.7),在40 keV VMI+下测量,与所有其他系列相比具有显著优势。在主观分析中,40 keV VMI+时的图像对比度最高(4.8±0.4),而整体图像质量在50 keV VMI+时达到峰值(4.2±0.5),与所有其他系列相比,结果显著优于其他系列(p < 0.001)。结论:使用VMI+算法在50 keV下进行图像重建,可显著提高原本浊度较差的腹部CT图像对比度和图像质量,减少非诊断性扫描次数。知识进展:我们在一项大数据队列研究中验证了VMI+重建对腹部弱衰减DECT研究的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Salvaging low contrast abdominal CT studies using noise-optimised virtual monoenergetic image reconstruction.

Salvaging low contrast abdominal CT studies using noise-optimised virtual monoenergetic image reconstruction.

Salvaging low contrast abdominal CT studies using noise-optimised virtual monoenergetic image reconstruction.

Salvaging low contrast abdominal CT studies using noise-optimised virtual monoenergetic image reconstruction.

Objectives: To assess the impact of noise-optimised virtual monoenergetic imaging (VMI+) on image quality and diagnostic evaluation in abdominal dual-energy CT scans with impaired portal-venous contrast.

Methods: We screened 11,746 patients who underwent portal-venous abdominal dual-energy CT for cancer staging between 08/2014 and 11/2019 and identified those with poor portal-venous contrast.Standard linearly-blended image series and VMI+ image series at 40, 50, and 60 keV were reconstructed. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of abdominal organs and vascular structures were calculated. Image noise, image contrast and overall image quality were rated by three radiologists using 5-point Likert scale.

Results: 452 of 11,746 (4%) exams were poorly opacified. We excluded 190 cases due to incomplete datasets or multiple exams of the same patient with a final study group of 262. Highest CNR values in all abdominal organs (liver, 6.4 ± 3.0; kidney, 17.4 ± 7.5; spleen, 8.0 ± 3.5) and vascular structures (aorta, 16.0 ± 7.3; intrahepatic vein, 11.3 ± 4.7; portal vein, 15.5 ± 6.7) were measured at 40 keV VMI+ with significantly superior values compared to all other series. In subjective analysis, highest image contrast was seen at 40 keV VMI+ (4.8 ± 0.4), whereas overall image quality peaked at 50 keV VMI+ (4.2 ± 0.5) with significantly superior results compared to all other series (p < 0.001).

Conclusions: Image reconstruction using VMI+ algorithm at 50 keV significantly improves image contrast and image quality of originally poorly opacified abdominal CT scans and reduces the number of non-diagnostic scans.

Advances in knowledge: We validated the impact of VMI+ reconstructions in poorly attenuated DECT studies of the abdomen in a big data cohort.

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