Wrist Pipeline Technical Details

1. Wrist scan (e.g., CT)

multiple positions including “neutral pose”

$G: N/A (done at Engineering)

Output: volume image (multiple 2D slices forming stack)

1. For Neutral position, for each bone, for each slice, draw contour by hand

$G: N/A (done at Engineering)

Output: Point Cloud (i.e., a “.stack” file)

1. Classify/segmentation/registration

INPUT: a) crop_values.txt, b) .iv files for point clouds w/ “mimcs”, c) original scan to MRI (uses stack files)

scripts: project/wrist/pipeline/batchGen.py

$G: project/wrist/program/registration/

$G: project/wrist/program/visualizer/ [Windows program]

Output: (files in “auto_registr_results/” directory)

1. Inter-bone distance fields

INPUT: inertial results (w/ matlab code in Engineering -- .dat files)

INPUT: a) .iv files, b) RT files, c) inertial files (.dat files)

scripts: project/wrist/pipeline/joints_one_linux.sh

scripts: project/wrist/pipeline/joints_one_linux.sh

$G: project/wrist/program/distancefield/

$G: project/wrist/program/jointViewer/

Growing cartilage�$G: project/wrist/program/cartilage/�$G: project/wrist/program/jointCartilageViewer/