Provides an up-to-date overview of CAOS

Written by experts specializing in computer assisted TKA and THA

Includes both clinical status and basic research topics

Autorentext

Editor:

Dr Nobuhiko Sugano

Department of Orthopaedic Medical Engineering,

Osaka University Graduate School of Medicine,

Suita, Osaka, Japan

Klappentext

This book focuses on two major areas in the field of computer assisted orthopaedic surgery (CAOS): hip and knee surgery.

It reviews the current clinical status of the various CAOS tools for hip and knee arthroplasty, osteotomy, ligament reconstruction, spine surgery, trauma surgery, and tumour surgery that have become available in recent years and discusses future applications based on fundamental research and continuously developing computer technology / devices.

Computer Assisted Orthopaedic Surgery for Hip and Knee highlights three areas total knee arthroplasty (TKA); total hip arthroplasty (THA) and hip osteotomy; and statistical shape modelling. It is a valuable resource for orthopaedic surgeons, clinical technologists and computer scientists and other specialists interested in this technology.

Inhalt

Part I. Computer-Assisted TKA:.- 1. Navigation of Alignment and Balancing in Knee Replacement.- 2. CT-Based Navigation in TKA.- 3. Robotic Total Knee Arthroplasty.- 4. PSI for TKA.- 5. Palm Size Navigation Technology for TKA.- 6. Robotic UKA.- Part II. Computer Assisted THA and Hip Osteotomy.- 7. Pelvic and femoral coordinates and implant alignment.- 8. CT based navigation in THA.- 9. Imageless navigation for THA.- 10. PSG for THA.- 11. Robotic primary and revision THA for the femoral side.- 12. CAOS for hip osteotomies.- 13. CAOS for pelvic tumor surgery.- Part III. Statistical shape modeling for computer assisted hip and knee surgery.- 14. Application of Statistical shape modeling for CAOS. Overview.- 15. Statistical Shape Models and Atlases.- 16. Geometrical Methods for Anatomical Shapes.- 17. Construction and Application of Large-Scale Image Database in Orthopaedic Surgery.- 18. Future perspective of Statistical Shape Models in CAOS.