TRANSVERSE MUSCLE ULTRASOUND ANALYSIS (TRAMA): ROBUST AND ACCURATE SEGMENTATION OF MUSCLE CROSS-SECTIONAL AREA
TRANSVERSE MUSCLE ULTRASOUND ANALYSIS (TRAMA): ROBUST AND ACCURATE SEGMENTATION OF MUSCLE CROSS-SECTIONAL AREA
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DOI：
10.1016/j.ultrasmedbio.2018.11.012
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发表时间：
2019-03-01
影响因子：
2.9
通讯作者：
Minetto, Marco Alessandro
中科院分区：
文献类型：
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作者：
Salvi, Massimo;Caresio, Cristina;Minetto, Marco Alessandro
超声检查可以无创且真实的时间测量肌肉的可见横截面积（CSA），这是肌肉大小的临床相关描述符。本研究的目的是开发和验证一种称为横向肌肉超声分析（TRAMA）的全自动方法，用于分割B型横向超声图像中的肌肉和测量肌肉CSA。在200张股直肌、股外侧肌、胫骨前肌和内侧腓肠肌超声图像的数据库上对TRAMA进行了测试。将自动CSA测量值与由两名操作员获得的手动测量值进行比较。四块肌肉CSA的自动和手动测量值之间没有统计学差异，TRAMA性能在自动和手动分割之间的Dice相似系数和Hausdorff距离方面与操作员内变异性相当。与人工分割相比，该方法的Dice相似系数始终高于93%，Hausdorff距离不超过4 mm，最大绝对误差为62 mm（2）。TRAMA是第一个自动化的算法，分析和分段的超声扫描的肌肉在横向平面。它可以在未来的研究中采用自动分割的肌肉感兴趣的区域，以提高和自动化的肌肉结构的多纹理分析。(C)2018年世界医学和生物学超声联合会。All rights reserved.
Ultrasonography allows non-invasive and real time-measurement of the visible cross-sectional area (CSA) of muscles, which is a clinically relevant descriptor of muscle size. The aim of this study was to develop and validate a fully automatic method called transverse muscle ultrasound analysis (TRAMA) for segmentation of the muscle in B-mode transverse ultrasound images and measurement of muscle CSA. TRAMA was tested on a database of 200 ultrasound images of the rectus femoris, vastus lateralis, tibialis anterior and medial gastrocnemius muscles. The automatic CSA measurements were compared with manual measurements obtained by two operators. There were no statistical differences between the automatic and manual measurements of CSA of the four muscles, and TRAMA performance was comparable to intra-operator variability in terms of the Dice similarity coefficient and Hausdorff distance between the automatic and manual segmentations. Compared with manual segmentation, the Dice similarity coefficient for the proposed method was always higher than 93%; the Hausdorff distance never exceeded 4 mm, and the maximum absolute error was 62 mm(2). TRAMA is the first automated algorithm that analyzes and segments ultrasound scans of the muscle in the transverse plane. It can be adopted in future studies for automatic segmentation of muscle regions of interest to enhance and automatize a multitexture analysis of muscle structure. (C) 2018 World Federation for Ultrasound in Medicine & Biology. All rights reserved.