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在超声图像中跟踪动态舌运动以诊断阻塞性睡眠呼吸暂停

Tracking Dynamic Tongue Motion in Ultrasound Images for Obstructive Sleep Apnea.

作者信息

Chien Chih-Yen, Chen Jeng-Wen, Chang Chun-Hsiang, Huang Chih-Chung

机构信息

Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.

Department of Otolaryngology Head and Neck Surgery, Cardinal Tien Hospital, New Taipei City, Taiwan; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.

出版信息

Ultrasound Med Biol. 2017 Dec;43(12):2791-2805. doi: 10.1016/j.ultrasmedbio.2017.08.001. Epub 2017 Sep 21.

Abstract

Obstructive sleep apnea (OSA), a breathing disorder characterized by repetitive collapse of the pharyngeal airway during sleep, can cause intermittent hypoxemia and frequent arousal. The evaluation of dynamic tongue motion not only provides the biomechanics and pathophysiology for OSA diagnosis, but also helps doctors to determine treatment strategies for these patients with OSA. The purpose of this study was to develop and verify a dedicated tracking algorithm, called the modified optical flow (OF)-based method, for monitoring the dynamic motion of the tongue base in ultrasound image sequences derived from controls and patients with OSA. The performance of the proposed method was verified by phantom and synthetic data. A common tracking method, the normalized cross-correlation method, was included for comparison. The efficacy of the algorithms was evaluated by calculating the estimated displacement error. All results indicated that the modified OF-based method exhibited higher accuracy in verification experiments. In the human subject experiment, all participants performed the Müller maneuver (MM) to simulate the contour changes of the tongue base with a negative pharyngeal airway pressure in sleep apnea. Ultrasound image sequences of the tongue were obtained during 10 s of a transition from normal breathing to the MM, and these were measured using the modified OF-based method. The results indicated that the displacement of the tongue base during the MM was larger in the controls than in the patients with OSA (p < 0.05); the calculated areas of the tongue in the controls and patients with OSA were 24.9 ± 3.0 and 27.6 ± 3.3 cm, respectively, during normal breathing (p < 0.05), and 24.7 ± 3.6 and 27.3 ± 3.8 cm, respectively, at the end of the MM. The percentage changes in the tongue area were 2.2% and 1.3% in the controls and patients with OSA, respectively. We found that quantitative assessment of tongue motion by ultrasound imaging is suitable for evaluating pharyngeal airway behavior in OSA patients with minimal invasiveness and easy accessibility.

摘要

阻塞性睡眠呼吸暂停(OSA)是一种以睡眠期间咽部气道反复塌陷为特征的呼吸障碍,可导致间歇性低氧血症和频繁觉醒。动态舌运动的评估不仅为OSA诊断提供生物力学和病理生理学依据,还能帮助医生确定这些OSA患者的治疗策略。本研究的目的是开发并验证一种专门的跟踪算法,即基于改进光流(OF)的方法,用于监测来自对照组和OSA患者的超声图像序列中舌根的动态运动。通过体模和合成数据验证了该方法的性能。为作比较,纳入了一种常用的跟踪方法,即归一化互相关法。通过计算估计位移误差来评估算法的有效性。所有结果表明,基于改进OF的方法在验证实验中表现出更高的准确性。在人体实验中,所有参与者进行米勒动作(MM)以模拟睡眠呼吸暂停时咽部气道负压下舌根的轮廓变化。在从正常呼吸过渡到MM的10秒内获取舌部的超声图像序列,并使用基于改进OF的方法进行测量。结果表明,MM期间舌根的位移在对照组中比OSA患者更大(p < 0.05);在正常呼吸期间,对照组和OSA患者舌部计算面积分别为24.9±3.0和27.6±3.3平方厘米(p < 0.05),在MM结束时分别为24.7±3.6和27.3±3.8平方厘米。对照组和OSA患者舌面积的百分比变化分别为2.2%和1.3%。我们发现,通过超声成像对舌运动进行定量评估适用于以微创且易于操作的方式评估OSA患者的咽部气道行为。

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