Dataset for: Automated femoral landmark extraction for optimal prosthesis placement in total hip arthroplasty

The automated extraction of anatomical reference landmarks in the femoral volume may improve speed, precision and accuracy of surgical procedures, such as total hip arthroplasty. These landmarks are often hard to achieve, even via surgical incision. In addition, it provides a presurgical guidance for prosthesis sizing and placement. This study presents an automated workflow for femoral orientation and landmark extraction from a 3D surface mesh. The extraction of parameters such as the femoral neck axis, the femoral middle diaphysis axis, both trochanters and the center of the femoral head will allow the surgeon to establish the correct position of bony cuts to restore leg length and femoral offset. The definition of the medullary canal endosteal wall is used to position the prosthesis' stem. Furthermore, prosthesis alignment and sizing methods were implemented in order to provide the surgeon with presurgical information about performance of each of the patient specific femur-implant couplings. The workflow considers different commercially available hip stems and has the potential to help the preoperative planning of a total hip arthroplasty in an accurate, repeatable and reliable way. The positional and orientation errors are significantly reduced and therefore the risk of implant failure and subsequent revision surgery are also reduced.

对股骨区域内的解剖学参考标志点进行自动化提取，可提升全髋关节置换术等外科手术的操作速度、精度与准确性。即便通过外科切口，这类标志点也往往难以精准获取。此外，该方法还可为假体型号选择与植入定位提供术前规划指导。本研究提出了一种可从三维表面网格（3D surface mesh）中提取股骨方位与解剖标志点的自动化工作流。通过提取股骨颈轴、股骨骨干中段轴、双侧股骨转子以及股骨头中心等参数，外科医生可确定骨截骨的精准位置，以恢复患肢长度与股骨偏心距。对髓腔骨内膜壁的界定，可用于确定假体柄的植入位置。此外，本工作流还集成了假体对线与型号选择算法，可为外科医生提供针对每一例患者专属股骨-假体匹配组合的术前性能相关信息。该工作流兼容多款市售髋关节假体柄，有望以精准、可重复且可靠的方式辅助全髋关节置换术的术前规划。其可显著降低位置与方位误差，进而减少假体失效以及后续翻修手术的风险。