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超声自动识别腰椎水平

Automatic identification of lumbar level with ultrasound.

作者信息

Kerby Benjamin, Rohling Robert, Nair Vishnu, Abolmaesumi Purang

机构信息

Department of Electrical and Computer Engineering, University of British Columbia, BC, Canada.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:2980-3. doi: 10.1109/IEMBS.2008.4649829.

Abstract

An ultrasound-based system is created to label the lumbar vertebrae for the purpose of percutaneous needle insertion. Many lumbar punctures have a preferable vertebral level for needle insertion, but the traditional method of manual palpation is known to be inaccurate for determining the level. Needle insertion for epidural anesthesia in obstetrics is preferably performed at the L3-L4 interspace and miscalculation can lead to complications such as nerve damage and paralysis. Similar risks occur for other spinal needle insertions. In this paper, an ultrasound-based system is devised that creates panorama images of lumbar vertebrae with an extended field of view starting from the coccyx. The vertebrae are labeled with a novel image processing algorithm. Since the coccyx is relatively easy to locate by palpation, the labels of the vertebrae from the panorama can be converted to skin location on the subject. The method is validated against independent measurements by a sonographer.

摘要

为了经皮穿刺针插入的目的,创建了一种基于超声的系统来标记腰椎。许多腰椎穿刺在针插入时有一个更合适的椎间隙水平,但传统的手动触诊方法在确定该水平时已知是不准确的。产科硬膜外麻醉的针插入最好在L3-L4间隙进行,计算错误可能导致神经损伤和瘫痪等并发症。其他脊髓针插入也存在类似风险。在本文中,设计了一种基于超声的系统,该系统从尾骨开始创建具有扩展视野的腰椎全景图像。使用一种新颖的图像处理算法对椎骨进行标记。由于尾骨通过触诊相对容易定位,全景图中椎骨的标记可以转换为受试者皮肤上的位置。该方法由超声检查人员对照独立测量进行了验证。

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