FULLY AUTOMATED MUSCLE ULTRASOUND ANALYSIS (MUSA): ROBUST AND ACCURATE MUSCLE THICKNESS MEASUREMENT
FULLY AUTOMATED MUSCLE ULTRASOUND ANALYSIS (MUSA): ROBUST AND ACCURATE MUSCLE THICKNESS MEASUREMENT
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DOI：
10.1016/j.ultrasmedbio.2016.08.032
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发表时间：
2017-01-01
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：
Caresio, Cristina;Salvi, Massimo;Minetto, Marco Alessandro
肌肉骨骼超声成像可以非侵入性地测量骨骼肌厚度。当前的技术通常受到手动操作员依赖性的困扰，而所有计算机辅助方法都仅限于半自动或专门针对单个肌肉进行优化。本研究的目的是开发并验证一种名为 MUSA（肌肉超声分析）的全自动方法，用于测量从不同骨骼肌获取的纵向超声图像上的肌肉厚度。 MUSA 算法在包含 200 张股直肌、股外侧肌、胫骨前肌和腓肠肌内侧 B 型超声图像的数据库上进行了测试。将自动肌肉厚度测量值与三名操作员手动测量值进行比较。 MUSA算法实现了100%的分割成功率，自动测量和手动测量之间的平均差异在0.06-0.45毫米范围内。 MUSA 的性能在统计上与操作者相同，并且其测量精度与肌肉厚度值无关。 （电子邮件：filippo.molinari@polito.it） (C) 2016 年世界超声医学与生物学联合会。
Musculoskeletal ultrasound imaging allows non-invasive measurement of skeletal muscle thickness. Current techniques generally suffer from manual operator dependency, while all the computer-aided approaches are limited to be semi-automatic or specifically optimized for a single muscle. The aim of this study was to develop and validate a fully automatic method, named MUSA (Muscle UltraSound Analysis), for measurement of muscle thickness on longitudinal ultrasound images acquired from different skeletal muscles. The MUSA algorithm was tested on a database of 200 B-mode ultrasound images of rectus femoris, vastus lateralis, tibialis anterior and medial gastrocnemius. The automatic muscle thickness measurements were compared to the manual measurements obtained by three operators. The MUSA algorithm achieved a 100% segmentation success rate, with mean differences between the automatic and manual measurements in the range of 0.06-0.45 mm. MUSA performance was statistically equal to the operators and its measurement accuracy was independent of the muscle thickness value. (E-mail: filippo.molinari@polito.it) (C) 2016 World Federation for Ultrasound in Medicine & Biology.