Journal:

Article Title: ?CT-Based Measurement of Cortical Bone Graft-to-Host Union

doi: 10.1359/JBMR.081232

Figure Lengend Snippet: Illustration of the graft-to-host union ratio algorithm. A user outlines the surface of the graft using contours on transverse μCT slices (A). The semiautomated algorithm developed using MATLAB then optimizes the manually defined contours drawn around the endosteal and periosteal surfaces (yellow lines) (B). The contours are first snapped to the graft boundary by edge detection (C) and then dilated into darker regions away from the graft surface, finding the gap between graft and callus, if it exists (red denotes voxels that are adjacent to host bone/callus and blue denotes voxels that are adjacent to host soft tissue) (D). The resulting 2D contour from one slice is copied to the next slice, and the edge detection and gap-finding operations are performed. This process is repeated on each slice until the entire graft is enclosed in contours. A smoothed 3D shell is generated from the contours using MATLAB's isosurface function (E). The footprint of bone penetrating the shell therefore defines connection areas between the graft and host or callus. The union ratio is defined as the lowest area of the connections (red regions) in either the proximal or distal one half of the graft divided by the corresponding surface area of the graft half.

Article Snippet: A smoothed 3D shell is generated from the contours using MATLAB's isosurface function (E).

Techniques: Generated