SCOLIOSIS SCREENING AND MONITORING USING SELF CONTAINED ULTRASOUND AND NEURAL NETWORKS.
SCOLIOSIS SCREENING AND MONITORING USING SELF CONTAINED ULTRASOUND AND NEURAL NETWORKS.
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使用自我包含的超声和神经网络进行脊柱侧弯筛查和监测。
DOI：
10.1109/isbi.2018.8363857
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Aylward S
中科院分区：
文献类型：
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作者：
Greer H;Gerber S;Niethammer M;Kwitt R;McCormick M;Chittajallu D;Siekierski N;Oetgen M;Cleary K;Aylward S
我们的目标是使用一个独立的超声设备诊断脊柱侧凸，不需要大量的操作培训。该设备使用嵌入式惯性测量单元知道其相对于垂直方向的角度，并且使用其超声图像的神经网络分析来估计其相对于椎骨的角度。这些角度的组成定义了椎骨与垂直方向的角度。从脊柱扫描中收集的椎骨角度之间的最大差异产生用于量化脊柱侧凸严重程度的Cobb角度测量。
We aim to diagnose scoliosis using a self contained ultrasound device that does not require significant training to operate. The device knows its angle relative to vertical using an embedded inertial measurement unit, and it estimates its angle relative to a vertebrae using a neural network analysis of its ultrasound images. The composition of those angles defines the angle of a vertebrae from vertical. The maximum difference between vertebrae angles collected from a scan of a spine yields the Cobb angle measure that is used to quantify scoliosis severity.