Dr Lucas E. Ritacco Department of Health Informatics, Hospital Italiano de Buenos Aires, 4247 Potosi, Buenos Aires 119, Argentina.

Mr Federico Milano Department of Health Informatics, Instituto Tecnológico de Buenos Aires (ITBA), Hospital Italiano de Buenos Aires, 4247 Potosi, Buenos Aires 119, Argentina.

Part 1. Preoperative Planning.- 1. Virtual Preoperative Planning.- 2. Computerized Tools: Allograft Selection.- 3. Computer Guided Navigation and Pre-Operative Planning for Arthroscopic Hip Surgery.- 4. Virtual Cranio-Maxillofacial Surgery Planning
with Stereo Graphics and Haptics.- 5. Computational Image-guided Technologies in Cranio-maxillofacial Soft Tissue Planning and Simulation.- Part 2. Surgical Navigation.- 6. Introduction to Surgical Navigation.- 7. Bone Tumor Navigation in the Pelvis.- 8. Bone Tumor Navigation in Limbs.- 9. Direct navigation of surgical instrumentation.- 10. Navigation in Spinal Surgery.- 11. Local Tumor Ablation using Computer-Assisted Planning and Execution.- Part 3. Custom Implants.- 12. Patient-specific Instruments in Orthopaedics.- 13. Custom Implants.- 14. Patient's Specific Template for Spine Surgery.- Part 4. Robotics.- 15. The Use of ROBODOC in Total Hip and Knee Arthroplasty.- 16. A comparative study for touchless telerobotic surgery.- Part 5. Validation in computer-assisted surgical workflows.- 17. Accuracy and precision in computer-assisted methods in orthopaedic surgery.- 18. Spinal Loading System: A Novel Technique for Assessing Spinal Flexibility in Adolescent Idiopathic Scoliosis.- Part 6. Emerging Trends.- 19. Computer simulation surgery for deformity correction of the upper extremity.- 20. 3D projection-based navigation.

Computer-Assisted Surgery (CAS) is a new tool for performing complex procedures in a predictable and safe way. This book is designed to serve as a comprehensive review of Computer-Assisted Surgery, covering the current status of both research and applications.

CAS includes Virtual Preoperative Planning (VPP) and Intraoperative Virtual Navigation (IVN), which are a set of technologies used to measure oncological margins in 3-Dimensions (3D), to locate small intraosseous tumors and apply controlled resections preserving anatomical structures. During VPP, patient acquired multimodal images are processed and an interactive virtual scenario is created. This can then be used as a platform to measure oncological distances and preplan osteotomies in safe areas. IVN is a procedure which allows the execution of the VPP with a mean error of less than 3mm.

For the student, medical doctors, research and development scientists or new researchers, the protocols are central to the performance of Computer-Assisted technologies.