Department of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA.
Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA.
Sensors (Basel). 2019 Feb 24;19(4):955. doi: 10.3390/s19040955.
Vibrational characteristics of bone are directly dependent on its physical properties. In this study, a vibrational method for bone evaluation is introduced. We propose a new type of quantitative vibro-acoustic method based on the acoustic radiation force of ultrasound for bone characterization in persons with fracture. Using this method, we excited the clavicle or ulna by an ultrasound radiation force pulse which induces vibrations in the bone, resulting in an acoustic wave that is measured by a hydrophone placed on the skin. The acoustic signals were used for wave velocity estimation based on a cross-correlation technique. To further separate different vibration characteristics, we adopted a variational mode decomposition technique to decompose the received signal into an ensemble of band-limited intrinsic mode functions, allowing analysis of the acoustic signals by their constitutive components. This prospective study included 15 patients: 12 with clavicle fractures and three with ulna fractures. Contralateral intact bones were used as controls. Statistical analysis demonstrated that fractured bones can be differentiated from intact ones with a detection probability of 80%. Additionally, we introduce a "healing factor" to quantify the bone healing progress which successfully tracked the progress of healing in 80% of the clavicle fractures in the study.
骨骼的振动特性直接取决于其物理特性。在这项研究中,我们介绍了一种用于骨骼评估的振动方法。我们提出了一种新的基于超声辐射力的定量声振方法,用于骨折患者的骨骼特征描述。使用这种方法,我们通过超声辐射力脉冲激励锁骨或尺骨,从而在骨骼中产生振动,产生的声波由放置在皮肤上的水听器测量。声信号用于基于互相关技术的波速估计。为了进一步分离不同的振动特性,我们采用变分模态分解技术将接收到的信号分解为一组带限固有模态函数,允许通过组成成分来分析声信号。这项前瞻性研究包括 15 名患者:12 名锁骨骨折患者和 3 名尺骨骨折患者。对侧完整的骨骼用作对照。统计分析表明,骨折骨骼与完整骨骼可以通过检测概率为 80%来区分。此外,我们引入了一个“愈合因子”来量化骨骼愈合的进展,该因子成功地跟踪了研究中 80%的锁骨骨折的愈合进展。