Dataset for: Automated femoral landmark extraction for optimal prosthesis placement in total hip arthroplasty
datasetposted on 29.03.2017 by Diogo Moreira Campos Ferreira de Almeida, RB Ruben, João Folgado, Paulo R Fernandes, João Gamelas, Benedict Verhegghe, Matthieu De Beule
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.