论著摘要 |【CT】用于量化大腿临床3D CT图像中肌肉-脂肪分布的可重复半自动方法(双语版)

2017-08-23 14:22:44 admin 15

A reproducible semi-automatic method to quantify the muscle-lipid distribution in clinical 3D CTimages of the thigh.

发表日期:2017 Apr 28    来源:PLoS One. 

作者:Mühlberg A1Museyko O1Laredo JD2Engelke K1.

作者介绍:

    1.Institute Of Medical Physics, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.

    2.AP-HP, Radiologie Ostéo-Articulaire, Hôpital Lariboisière, Université Paris VII Denis Diderot, Paris, France.

摘要

许多研究使用基于阈值的技术来使用计算机断层扫描(CT)成像在体内评估腿部的肌肉,骨骼和脂肪组织分布。更先进的技术将腿分成皮下脂肪组织(SAT),解剖肌肉(肌肉组织和肌肉边界内的脂肪细胞)和肌肉内和肌肉周围的脂肪组织。另外,直接来自CT值的称为肌肉密度的参数也经常被用来测量。我们引入了一种新的综合方法,在肌肉减少症或骨质疏松症患者使用定量CT来量化肌肉-脂质体系(MLS)。分析针对于大腿,许多髋关节的CT研究不包括整个腿,框架由解剖坐标系统组成,允许描绘可重复的感兴趣区域,强大的半自动3D筋膜分割和一个综合方法来量化分布在筋膜内的肌肉和脂肪。CT密度相关特征使用SAT的特定个体的内部CT值和扫描校准体模的外部CT值进行校准。评估了框架在操作者相互作用,图像噪声和校准方面的稳健性。具体来说,分析了操作者间/内的再分析精度的影响以及高斯噪声的加法,以模拟肌肉和脂肪组织体的较低辐射暴露,肌肉密度和3D筋膜特征量化筋膜内的肌肉-脂质体系。分析了25例具有多孔和低对比度肌肉结构的受试者(年龄:75.6±8.7)的现有数据。操作者间/内再分析精度误差低于1%,大部分与相关特征队列变化的1%相当。加倍噪音将大多数3D纹理特征改变高达队列变化的15%,但不影响密度和体积测量。新技术的应用在可接受的处理时间里很容易。因此,它是可用于肌肉骨骼疾病的肌肉-脂质体系的综合定量的影像组学方法。

Many studies use threshold-based techniques to assess in vivo the muscle, bone and adipose tissue distribution of the legs using computed tomography (CT) imaging. More advanced techniques divide the legs into subcutaneous adipose tissue (SAT), anatomical muscle (muscle tissue and adipocytes within the muscle border) and intra- and perimuscular adipose tissue. In addition, a so-called muscle density directly derived from the CT-values is often measured. We introduce a new integrated approach to quantify the muscle-lipid system (MLS) using quantitative CT in patients with sarcopenia or osteoporosis. The analysis targets the thigh as many CT studies of the hip do not include entire legs The framework consists of an anatomic coordinate system, allowing delineation of reproducible volumes of interest, a robust semi-automatic 3D segmentation of the fascia and a comprehensive method to quantify of the muscle and lipid distribution within the fascia. CTdensity-dependent features are calibrated using subject-specific internal CT values of the SAT and external CT values of an in scan calibration phantom. Robustness of the framework with respect to operator interaction, image noise and calibration was evaluated. Specifically, the impact of inter- and intra-operator reanalysis precision and addition of Gaussian noise to simulate lower radiation exposure on muscle and AT volumes, muscle density and 3D texture features quantifying MLS within the fascia, were analyzed. Existing data of 25 subjects (age: 75.6 ± 8.7) with porous and low-contrast muscle structures were included in the analysis. Intra- and inter-operator reanalysis precision errors were below 1% and mostly comparable to 1% of cohort variation of the corresponding features. Doubling the noise changed most 3D texture features by up to 15% of the cohort variation but did not affect density and volume measurements. The application of the novel technique is easy with acceptable processing time. It can thus be employed for a comprehensive quantification of the muscle-lipidsystem enabling radiomics approaches to musculoskeletal disorders.

阅读原文:10.1371/journal.pone.0175174


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