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3-D Registration Method based on Scattered Point Cloud from B-model Ultrasound Image

机译:基于B模型超声图像分散点云的3-D注册方法

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The paper proposes a registration method on 3D point cloud of the bone tissue surface extracted by B-mode ultrasound image and the CT model . The B-mode ultrasound is used to get two-dimensional images of the femur tissue . The binocular stereo vision tracker is used to obtain spatial position and orientation of the optical positioning device fixed on the ultrasound probe. The combining of the two kind of data generates 3D point cloud of the bone tissue surface. The pixel coordinates of the bone surface are automatically obtained from ultrasound image using an improved local phase symmetry (phase symmetry, PS) . The mapping of the pixel coordinates on the ultrasound image and 3D space is obtained through a series of calibration methods. In order to detect the effect of registration, six markers are implanted on a complete fresh pig femoral .The actual coordinates of the marks are measured with two methods. The first method is to get the coordinates with measuring tools under a coordinate system. The second is to measure the coordinates of the markers in the CT model registered with 3D point cloud using the ICP registration algorithm under the same coordinate system. Ten registration experiments are carried out in the same way. Error results are obtained by comparing the two sets of mark point coordinates obtained by two different methods. The results is that a minimum error is 1.34mm, the maximum error is 3.22mm,and the average error of 2.52mm; ICP registration algorithm calculates the average error of 0.89mm and a standard deviation of 0.62mm.This evaluation standards of registration accuracy is different from the average error obtained by the ICP registration algorithm. It can be intuitive to show the error caused by the operation of clinical doctors. Reference to the accuracy requirements of different operation in the Department of orthopedics, the method can be apply to the bone reduction and the anterior cruciate ligament surgery.
机译:本文提出了通过B模式超声图像和CT模型提取的骨组织表面的3D点云上的注册方法。 B模式超声用于获得股骨组织的二维图像。双目立体视觉跟踪器用于获得固定在超声探头上的光学定位装置的空间位置和方向。两种数据的组合产生了骨组织表面的3D点云。骨表面的像素坐标使用改进的局部相位对称(相位对称,PS)自动从超声图像获得。通过一系列校准方法获得超声图像和3D空间上的像素坐标的映射。为了检测注册的效果,植入六个标记物在完整的新鲜猪股上。标记的实际坐标用两种方法测量。第一种方法是在坐标系下获取具有测量工具的坐标。第二个是使用在相同的坐标系下使用ICP登记算法在3D点云注册的CT模型中测量标记的坐标。十个注册实验以同样的方式进行。通过比较通过两组不同方法获得的两组标记点坐标而获得错误结果。结果是最小误差为1.34mm,最大误差为3.22mm,平均误差为2.52mm; ICP登记算法计算0.89mm的平均误差和0.62mm的标准偏差。该注册精度评估标准与ICP注册算法获得的平均误差不同。它可以直观地显示由临床医生的操作造成的错误。参考骨科部门不同操作的准确性要求,该方法可以适用于骨减少和前十字架韧带手术。

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