首页> 美国卫生研究院文献>Journal of Digital Imaging >Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images
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Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images

机译:半自动分割工具和改进的椭球公式用于非对比T2加权MR图像中肾脏体积分析的开发和评估

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摘要

Volumetric analysis of the kidney parenchyma provides additional information for the detection and monitoring of various renal diseases. Therefore the purposes of the study were to develop and evaluate a semi-automated segmentation tool and a modified ellipsoid formula for volumetric analysis of the kidney in non-contrast T2-weighted magnetic resonance (MR)-images. Three readers performed semi-automated segmentation of the total kidney volume (TKV) in axial, non-contrast-enhanced T2-weighted MR-images of 24 healthy volunteers (48 kidneys) twice. A semi-automated threshold-based segmentation tool was developed to segment the kidney parenchyma. Furthermore, the three readers measured renal dimensions (length, width, depth) and applied different formulas to calculate the TKV. Manual segmentation served as a reference volume. Volumes of the different methods were compared and time required was recorded. There was no significant difference between the semi-automatically and manually segmented TKV (p = 0.31). The difference in mean volumes was 0.3 ml (95% confidence interval (CI), −10.1 to 10.7 ml). Semi-automated segmentation was significantly faster than manual segmentation, with a mean difference = 188 s (220 vs. 408 s); p < 0.05. Volumes did not differ significantly comparing the results of different readers. Calculation of TKV with a modified ellipsoid formula (ellipsoid volume × 0.85) did not differ significantly from the reference volume; however, the mean error was three times higher (difference of mean volumes −0.1 ml; CI −31.1 to 30.9 ml; p = 0.95). Applying the modified ellipsoid formula was the fastest way to get an estimation of the renal volume (41 s). Semi-automated segmentation and volumetric analysis of the kidney in native T2-weighted MR data delivers accurate and reproducible results and was significantly faster than manual segmentation. Applying a modified ellipsoid formula quickly provides an accurate kidney volume.
机译:肾脏实质的体积分析为检测和监测各种肾脏疾病提供了更多信息。因此,本研究的目的是开发和评估半自动分割工具和改进的椭球公式,用于在非对比T2加权磁共振(MR)图像中对肾脏进行体积分析。三名读者两次对24名健康志愿者(48个肾脏)的轴向,非增强T2加权MR图像进行了总肾脏体积(TKV)的半自动分割。开发了一种基于阈值的半自动分割工具来分割肾实质。此外,三位阅读者测量了肾脏的尺寸(长度,宽度,深度),并应用了不同的公式来计算TKV。手动细分用作参考量。比较不同方法的体积并记录所需时间。半自动和手动分段的TKV之间没有显着差异(p = 0.31)。平均体积的差异为0.3 ml(95%置信区间(CI),-10.1至10.7 ml)。半自动分割的速度明显快于手动分割,平均差异为188秒(220比408秒); p <0.05。比较不同读者的结果,卷没有显着差异。用修改后的椭球公式(椭球体积×0.85)计算TKV与参考体积无明显差异;但是,平均误差高出三倍(平均体积之差-0.1 ml; CI -31.1至30.9 ml; p = 0.95)。应用修改后的椭球公式是估计肾脏体积(41 s)的最快方法。半自动分割和天然T2加权MR数据中肾脏的体积分析可提供准确且可重复的结果,并且比手动分割要快得多。快速应用修改后的椭圆体公式可提供准确的肾脏体积。

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