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一种通过曲线拟合准确估计肝脏体积的简单方法:一项初步研究。

A simple method for accurate liver volume estimation by use of curve-fitting: a pilot study.

作者信息

Aoyama Masahito, Nakayama Yoshiharu, Awai Kazuo, Inomata Yukihiro, Yamashita Yasuyuki

机构信息

Department of Intelligent Systems, Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ozuka-higashi, Asa-minami-ku, Hiroshima 731-3194, Japan.

出版信息

Radiol Phys Technol. 2013 Jan;6(1):180-6. doi: 10.1007/s12194-012-0186-x. Epub 2012 Nov 11.

Abstract

In this paper, we describe the effectiveness of our curve-fitting method by comparing liver volumes estimated by our new technique to volumes obtained with the standard manual contour-tracing method. Hepatic parenchymal-phase images of 13 patients were obtained with multi-detector CT scanners after intravenous bolus administration of 120-150 mL of contrast material (300 mgI/mL). The liver contours of all sections were traced manually by an abdominal radiologist, and the liver volume was computed by summing of the volumes inside the contours. The section number between the first and last slice was then divided into 100 equal parts, and each volume was re-sampled by use of linear interpolation. We generated 13 model profile curves by averaging 12 cases, leaving out one case, and we estimated the profile curve for each patient by fitting the volume values at 4 points using a scale and translation transform. Finally, we determined the liver volume by integrating the sampling points of the profile curve. We used Bland-Altman analysis to evaluate the agreement between the volumes estimated with our curve-fitting method and the volumes measured by the manual contour-tracing method. The correlation between the volume measured by manual tracing and that estimated with our curve-fitting method was relatively high (r = 0.98; slope 0.97; p < 0.001). The mean difference between the manual tracing and our method was -22.9 cm(3) (SD of the difference, 46.2 cm(3)). Our volume-estimating technique that requires the tracing of only 4 images exhibited a relatively high linear correlation with the manual tracing technique.

摘要

在本文中,我们通过将新技术估算的肝脏体积与标准手动轮廓追踪法获得的体积进行比较,描述了我们曲线拟合方法的有效性。13例患者在静脉推注120 - 150 mL造影剂(300 mgI/mL)后,使用多排螺旋CT扫描仪获取肝脏实质期图像。所有层面的肝脏轮廓均由一名腹部放射科医生手动追踪,通过将轮廓内的体积相加来计算肝脏体积。然后将首末层面之间的层数等分为100份,每个体积通过线性插值重新采样。我们通过对12例病例求平均(每次排除1例)生成13条模型轮廓曲线,并通过使用比例和平移变换拟合4个点处的体积值来估算每位患者的轮廓曲线。最后,通过对轮廓曲线的采样点进行积分来确定肝脏体积。我们使用Bland - Altman分析来评估曲线拟合方法估算的体积与手动轮廓追踪法测量的体积之间的一致性。手动追踪测量的体积与我们曲线拟合方法估算的体积之间的相关性相对较高(r = 0.98;斜率0.97;p < 0.001)。手动追踪与我们方法之间的平均差异为 - 22.9 cm³(差异标准差为46.2 cm³)。我们仅需追踪4幅图像的体积估算技术与手动追踪技术表现出相对较高的线性相关性。

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