Doctor A, Vondenbusch Bernhard, Kozak Josef
Hochschule Furtwangen University, Department of Mechanical and Process Engineering, Germany.
Acta Bioeng Biomech. 2011;13(2):3-11.
Noninvasive 3D reconstruction of a bone requires very accurate 2D navigated scans of bone. The use of brightness-mode ultrasound seems to be promising, if some 2D scans of bone are obtained in a fully automatic manner. This paper presents a rapid and fully automatic method for segmenting bone in a standard 2D ultrasound image (B-mode image). The algorithm focuses on segmenting bone in the B-mode image using RF data of the image. The article introduces the signal-processing scheme designed based on RF data to automatically segment bone in the B-mode image. The segmentation accuracy was assessed by performing various tests for this algorithm for various locations of the limbs of the human body. The algorithm was tested for 120 images taken at different locations of limbs of the human body. The sensitivity of these tests was calculated to be 0.99 and specificity was found to be 1. The suggested segmentation approach provides a reliable means of detecting bone in B-mode image.
骨骼的无创三维重建需要对骨骼进行非常精确的二维导航扫描。如果能以全自动方式获得一些骨骼的二维扫描图像，那么使用亮度模式超声似乎很有前景。本文提出了一种在标准二维超声图像（B 模式图像）中快速且全自动分割骨骼的方法。该算法专注于利用图像的射频数据在 B 模式图像中分割骨骼。文章介绍了基于射频数据设计的信号处理方案，以在 B 模式图像中自动分割骨骼。通过对该算法在人体四肢不同部位进行各种测试来评估分割精度。该算法针对在人体四肢不同部位拍摄的 120 幅图像进行了测试。这些测试的灵敏度计算得出为 0.99，特异性为 1。所建议的分割方法为在 B 模式图像中检测骨骼提供了一种可靠的手段。
