用超声扫描和一种新的直方图匹配算法量化中斜方肌的形态学变化

Fraser Philp, Erik Meilak, Tracey Willis, Naomi Winn, Anand Pandyan
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引用次数: 0

摘要

面肩肱骨营养不良(FSHD)可通过肌肉变性、脂肪浸润和水肿影响上肢功能。超声测量的肌肉回声性可作为肌肉变化和疾病进展的生物标志物[1-3]。直方图匹配可能有助于克服现有的缺陷,使我们无法使用此类图像提取临床有用的信息[4,5]。肌肉超声图像的直方图匹配能否用于提取临床相关措施,以量化FSHD (pwFSHD)患者的肌肉形态学变化?参与者参加了上肢2d超声成像和3d运动分析的单一运动分析会议。pwFSHD采用臂函数分层抽样。对照组年龄和性别匹配。在C7和ACJ之间的中点处测量中斜方肌。使用Esoate MyLab-Gamma设备和线性探头(3-13 MHz)进行了6次测量(3-纵向和3-横向视图)。使用ImageJ 1.53t进行肌肉厚度测量。按照Bottenus等人[4]的描述进行直方图匹配。所有图像都与来自对照组参与者的单个参考图像相匹配。对皮下脂肪层进行人工分割,并将其作为所有图像的直方图匹配的兴趣区域。采用全直方图匹配,对整个图像进行单调变换。对斜方肌进行分割,确定平均灰度值(回声性)。采用学生t检验评价组间差异,探讨回声度值与肌肉厚度的关系。收集了14名参与者(7名pwFSHD (2 F:5 M)和7名性别和年龄匹配的对照组(2 F:5 M)的数据。pwFSHD的平均年龄(SD)分别为41.9岁(17.1),176厘米(8.8)和90.6公斤(24.8)。对照组年龄41.4岁(15.5岁),身高176.4 cm(5.7岁),体重77.1 kg(11.2岁)。群回声度值如图1所示。pwFSHD的平均(SD)回声度值高于对照组(分别为96.5(30.3)和32.2(11.2)),差异有统计学意义(p<0.001)。对照组斜方肌平均(SD)厚度分别为1.48 cm(0.27)和0.74 cm(0.45)。平均回声性评分占平均肌肉厚度值方差的82% (R2=0.824)。PwFSHD显示较高的回声值和较小的肌肉厚度,表明与疾病相关的退行性肌肉结构改变。初步结果表明,使用直方图匹配的超声图像捕获后处理可以提供FSHD患者和非FSHD患者的可量化差异。这可以促进临床可行的床边方法来评估和监测pwFSHD的疾病进展。需要进一步的工作来招募更大的pwFSHD样本和不同水平的臂功能,进行纵向测量,并在可变参考图像的基础上评估这些测量的灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying morphological changes in middle trapezius with ultrasound scanning and a novel histogram matching algorithm
Facioscapulohumeral dystrophy (FSHD) can affect upper-limb function through muscle degeneration, fatty infiltration and oedema. Muscle echogenicity, measured using ultrasound, could be used as a biomarker for muscular changes and disease progression [1–3]. Histogram-matching may be instrumental in overcoming existing shortcomings that prevent us from using such images to extract clinically useful information [4,5]. Can histogram-matching of muscle ultrasound images be used to extract clinically relevant measures to quantify the muscle morphological changes in people with FSHD (pwFSHD)? Participants attended a single motion analysis session for upper-limb 2D-ultrasound imaging and 3D-movement analysis. Stratified sampling by arm function was used for pwFSHD. Controls were age and sex matched. Middle trapezius measurement was taken at the midpoint of a line between C7 and ACJ. Six total measurements were taken (3-longitudinal and 3-transverse views) using an Esoate MyLab-Gamma device and linear probe (3-13 MHz). Muscle thickness measurements were carried using ImageJ 1.53t. Histogram-matching was carried out as described by Bottenus et al. [4]. All images were matched to a single reference image from a control group participant. Manual segmentation of the subcutaneous fat layer was carried out and used as the region-of-interest for histogram-matching across all images. Using full histogram-matching, the monotonic transformation was applied across the entire image. The trapezius muscle was segmented to determine mean grayscale values (echogenicity). The student t-test was used for evaluating between group differences and the relationship between echogenicity values and muscle thickness was investigated. Data was collected for 14 participants (7 pwFSHD (2 F:5 M) and 7 sex- and age-matched controls (2 F:5 M). PwFSHD had mean (SD) age, height and weight values of 41.9-years (17.1), 176 cm (8.8) and 90.6 kg (24.8) respectively. The control group had age, height and weight values of 41.4-years (15.5), 176.4 cm (5.7) and 77.1 kg (11.2) respectively. Group echogenicity values are presented in Fig. 1. Download : Download high-res image (106KB)Download : Download full-size image Mean (SD) echogenicity values for pwFSHD were higher than the control group (96.5 (30.3) vs 32.2 (11.2) respectively) with statistically significant differences (p<0.001). Mean (SD) trapezius muscle thickness was higher in the control group 1.48 cm (0.27) vs 0.74 cm (0.45) respectively. Mean echogenicity scores accounted for 82% of the variance in mean muscle thickness values (R2=0.824). PwFSHD demonstrated higher echogenicity values and smaller muscle thicknesses indicative of degenerative muscle structure changes associated with the disease. Preliminary results suggest that post capture processing of ultrasound images using histogram matching can provide quantifiable differences in people with and without FSHD. This could facilitate clinically feasible bedside methods for assessing and monitoring disease progression in pwFSHD. Further work is needed to recruit a larger sample of pwFSHD and varying levels of arm function, carry out longitudinal measurements and evaluate the sensitivity of these measures on the basis of variable reference images.
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