Background

Despite the high precision of the biplanar fluoroscopy system, digitized data contain errors compounded from several potential sources. (1) The undistortion relies on accurately determining the centroids of the grid. Image quality and/or imperfection in flattening the grid may cause small error. (2) camera calibration provides a "best estimate" of camera position based on digitized clicks on the image and the "true" measured distances of the points on the calibration object. Digitizing error and/or offsets in the calibration object point distances can also add uncertaintly. (3) Digitizing, whether automated or by hand can also add error and finally (4) 3D reconstruction between the two cameras may also add error.

Even very small error for individual markers can cause larger and more noticeable errors in rigid object orientation. This is clearly visible as "jittery bones" when raw data is used to drive animations.

Two Smoothing Steps

1. "Smart" smoothing. - using "measured" intermarker distances from CT data to constrain digitized data

2. Standard smoothing - butterworth filter to remove high frequency noise from bone orientations

"Smart" smoothing - basic instructions

What you need:

What to do:

What you get:

Standard Smoothing

under construction