Image Processing for Orthopedic Surgery
Orthopedic surgeons can now benefit from the use of a mature set of computer vision and image processing tools for patient-specific measurement, navigation, surgical simulation, surface reconstruction, and implant design. These techniques are a breakthrough in the field of orthopedics, enabling to improve treatment, recovery times, surgery outcomes and the quality of life of patients.
3D Reconstruction for Bone Alignment
Advances in vision-based medical imaging have completely transformed orthopedic surgery planning and operation procedures. A practical example is a high-impact femur fracture, resulting in a noticeable separation into two segments of the femur. Surgery in such cases requires initial alignment of the proximal and distal parts of the broken bone, followed by insertion and securing of a nail. In RSIP Vision's solution, image features are matched to a pre-designed flexible geometrical model of the bone. Read more...
Point and Surface Registration
Point and surface registration enable computer vision and image processing to improve surgical orthopedy practices and affect surgery outcome recovery. Bringing point and surface registration in the field of orthopedics, computer vision and image processing hold the potential to improve surgical practices and affect surgery outcome to favor the benefit of patients and fast recovery. Measurement accuracy (within less than 1 mm) is a strict constraint to computer-vision-based algorithms. Read more...
Anatomical Reconstruction with Sparse Set of Points
Advance navigation techniques in orthopedic surgery allow to construct 3D models of patients’ anatomical parts by matching a surface to an acquired set of data points. As an alternative to costly imaging procedures, ultrasound or fluoroscopic scan can be performed with much reduced costs and hazards. A set of surface points marked by the technician or physician forms then an initial sparse set for anatomical surface reconstruction. Here we show how RSIP Vision's engineers overcome the challenge of using a sparse set of points to accurately reconstruct a complex 3d surface. Read More