Using biplanar fluoroscopy we track the 3D-movement of the stifle joint in dogs non-invasively. Because of limited imaging quality and superimposition of the left and right leg during stance phase the tracking gives bad results for some of the frames. This is why I thought to filter the 3D-movement data and give the smoothed parameters back to the tracking algorithm as start point for a final tracking sequence. Filtering 3D-data is mostly performed on 3D-coordinates of markers. Would it by a valuable way to smooth the transformation parameters (3 translations and 3 rotations) instead? Would this approach result in a different movement than when smoothing the 3D-coordinates of markers (which I do not have) as we track the movement of the bones usins 2D-3D-image matching?

With kind regards, Peter.

Peter Böttcher, Dr med vet, DipECVS
European Veterinary Specialist in Surgery
Fachtierarzt für Kleintierchirurgie
Klinik für Kleintiere
Universität Leipzig
An den Tierkliniken 23
D-04103 Leipzig (Germany)
Tel: +49-341-9738700
Fax: +49-341-9738799