Towards markerless computer assisted surgery: Application to total knee arthroplasty
| Autor: | Jérôme Ogor, Eric Stindel, Guillaume Dardenne, Salaheddine Sta, Hoel Letissier, Chafiaa Hamitouche |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer-assisted surgery
030222 orthopedics Knee Joint business.industry Computer science medicine.medical_treatment Biophysics Total knee arthroplasty 030229 sport sciences Computer-assisted orthopedic surgery Arthroplasty Pose estimation algorithm Computer Science Applications 03 medical and health sciences 0302 clinical medicine Orthopedics Surgery Computer-Assisted medicine Humans Surgery Computer vision Artificial intelligence business Arthroplasty Replacement Knee |
| Zdroj: | The international journal of medical robotics + computer assisted surgery : MRCASREFERENCES. 17(5) |
| ISSN: | 1478-596X |
| Popis: | Purpose A new approach is proposed to localise surgical instruments for Computer Assisted Orthopaedic Surgery (CAOS) that aims at overpassing the limitations of conventional CAOS solutions. This approach relies on both a depth sensor and a 6D pose estimation algorithm. Methods The Point-Pair Features (PPF) algorithm was used to estimate the pose of a Patient-Specific Instrument (PSI) for Total Knee Arthroplasty (TKA). Four depth sensors have been compared. Three scores have been computed to assess the performances: The Depth Fitting Error (DFE), the Pose Errors, and the Success Rate. Results The obtained results demonstrate higher performances for the Microsoft Kinect Azure in terms of DFE. The Occipital Structure core shows better behavior in terms of Pose Errors and Success Rate. Conclusion This comparative study presents the first depth-sensor based solution allowing the intraoperative markerless localization of surgical instruments in orthopedics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text