Ultrasound Characterization of Bone Demineralization Using a Support Vector Machine.
Ultrasound Characterization of Bone Demineralization Using a Support Vector Machine.
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DOI：
10.1016/j.ultrasmedbio.2017.11.004
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发表时间：
2018-03
影响因子：
2.9
通讯作者：
Alizad A
中科院分区：
文献类型：
--
作者：
Denis M;Wan L;Fatemi M;Alizad A
In this work, we propose an ultrasound-guided remote measurement technique, utilizing an acoustic radiation force (ARF) beam as our excitation source and a receiving hydrophone, to noninvasively assess a bone’s mechanical properties. Features, such as velocity, were extracted from the received acoustic pressure from the bone surface. The typical velocity of an intact bone (3540 m/s) is higher in comparison to a demineralized bone (2231 m/s). According to the receiver operating characteristic (ROC) curve, the optimal velocity cut-off value of ≥ 3096 m/s yields 80% sensitivity and 82.61% specificity between intact and demineralized bone. Applying a support vector machine (SVM), the hours of bone demineralization are successfully classified with maximum accuracy > 80% using 18% training data. The results demonstrate the potential application of our proposed technique and machine learning for monitoring bone mechanical properties.
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