Matching the geometry is of paramount importance when restoring knee cartilage surfaces with transplantation as it's a rigid tissue. (Immunology is not a factor for cartilages.) Do it well and the patient regains full function for life.
Our multi-part AI solution optimizes the matching from MR images and recommends which part of the donor cartilage would serve which recipient best, thus optimizing matching and availability of grafts.
On the right-hand column, we see three MR images of the upper knee cartilages of three patients. Our AI finds the damaged regions and calculates the optimal shape of a replacement graft, marked with color on each of the three images.
On the left-hand side, we see the MR image of the upper knee cartilage of the donor. Our matching algorithm finds the positions of the three replacement grafts that fit the calculated shapes best. The three suggested grafts, marked on the MR image, fit the three damaged regions marked with the same color.
In this case, one donor cartilage provides three grafts for three knee cartilage surgeries.
