首页> 外文会议>International Society for Computer Assisted Orthopaedic Surgery >TKR CT-less femoral head detection accuracy on cadavers
【24h】

TKR CT-less femoral head detection accuracy on cadavers

机译:TKR CT的股骨头尸体在尸体上的探测精度

获取原文

摘要

Objectives: There were five objectives: (1) To evaluate the accuracy of the Femoral Head Detection Technique for the TKR CT-less application. (2) To assess improvements if a pelvic reference is used in addition to a femoral reference. A pelvic reference takes into account potential pelvic displacements during head center acquisition. (3) To compare two types of algorithms ("Pivot" and "Conical"). (4) To define the optimal number of static positions (positions that the user will have to manipulate the shank to) necessary for satisfactory Femoral Head Detection. (5) To determine an appropriate threshold level that the algorithm uses to evaluate the validity of the computation and beyond which the computation will be rejected as a safety measure. Design/Methods: This study was undertaken using a prototype of the TKR CT-less SNM module including a modified tool calibration algorithm for femoral head detection. It was modified to take only conical (instead of conical and axial) values. Each position of the femoral and pelvic reference cases was recorded in order to study the difference between the different head detection procedures. The recorded data was later used to compare the different algorithms and their accuracy when using a pelvic reference, and to find the optimal number of static positions. Tests were performed by 4 different users on 7 legs obtained from 4 Ml cadavers. Results were compared to a measurement of the actual location of the femoral head ("nominal center"). The following methodology was applied: (1) Fix the active reference to the pelvis; (2) Put the femoral reference on the distal part of the anterior cortex; (3) Perform a kinematic procedure with 14 different static position while recording tracking data; (4) Rename the output file; (5) Repeat steps 1 to 4 another four times; (6) After 20 simulations (five times for four persons) the femoral head was dislocated, and 20 points were digitized uniformly on the spherical surface of the femoral head with a pointer to measure the head center as a basis to compare with the results of calibration algorithm; 7) Using the recorded data* calculations corresponding to all other scenarios were performed off-line to evaluate the effects of altering various parameters. A procedure was rejected when maximum values for a parameter were exceeded. The following analyses were performed: (a) Verify the accuracy of the nominal center measurements by verifying how well the 20 points fit a sphere as assumed for the hip center detection algorithm; (b) The difference in accuracy between the pivot algorithm and the conical algorithm; (c) The difference in accuracy between 7 and 14 static position on the accuracy of the procedure; (d) The different in accuracy with and without pelvic reference (fixed or mobile); (e) The difference in accuracy between two threshold parameter settings.
机译:目的:有五个目标:(1)评估TKR CT应用的股骨头检测技术的准确性。 (2)如果使用骨盆参考除了股骨参考,则评估改进。在头中心采集期间考虑了潜在的盆腔位移的骨盆参考。 (3)比较两种类型的算法(“枢轴”和“锥形”)。 (4)为了定义最佳静态位置(用户必须操纵柄部的位置)对于令人满意的股骨头检测。 (5)确定算法用于评估计算的有效性的适当阈值水平,并且超出计算将被拒绝作为安全措施。设计/方法:本研究采用了TKR CT SNM模块的原型进行,包括用于股骨头检测的改进的刀具校准算法。它被修改为仅采用锥形(而不是锥形和轴向)值。记录股骨和盆腔参考案例的每个位置,以研究不同的头部检测程序之间的差异。记录的数据后来用于比较使用骨盆参考时的不同算法及其准确性,并找到最佳静态位置。在从4毫升尸体获得的7条腿上由4个不同的用户进行测试。将结果与股骨头的实际位置进行比较(“名义中心”)。应用以下方法:(1)修复骨盆的活动参考; (2)将股骨参考放在前皮层的远端部分; (3)在录制跟踪数据时执行具有14个不同静态位置的运动过程; (4)重命名输出文件; (5)另外重复步骤1至4; (6)在20次模拟(四人的五次)后,股骨头被脱臼,并在股骨头的球形表面上均匀地数字化20点,以测量头部中心作为比较结果的基础校准算法; 7)使用记录的数据*对应于所有其他方案的计算,以便在离线执行以评估改变各种参数的效果。超出参数的最大值时拒绝过程。执行以下分析:(a)通过验证如图所假设为HIP中心检测算法的球体符合符合球体的范围,验证标称中心测量的准确性; (b)枢轴算法与锥形算法之间的准确性差异; (c)差异在7到14个静态位置之间的准确性,提示程序的准确性; (d)具有和不含盆腔参考的准确性(固定或移动)的不同; (e)两个阈值参数设置之间的准确性差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号