X4D Overview: Difference between revisions
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X4D tracks 3D objects (bones, implants, etc.) in X-ray images by generating digitally reconstructed radiographs (DRRs) of the objects and matching them to the X-ray images. It requires that the 3D X-ray configuration parameters be defined in the subject file and that the X-ray images be corrected. | X4D tracks 3D objects (bones, implants, etc.) in X-ray images by generating digitally reconstructed radiographs (DRRs) of the objects and matching them to the X-ray images. It requires that the 3D X-ray configuration parameters be defined in the subject file and that the X-ray images be corrected. |
Revision as of 18:31, 18 January 2021
Language: | English • français • italiano • português • español |
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X4D tracks 3D objects (bones, implants, etc.) in X-ray images by generating digitally reconstructed radiographs (DRRs) of the objects and matching them to the X-ray images. It requires that the 3D X-ray configuration parameters be defined in the subject file and that the X-ray images be corrected.
To match DRR images to X-ray images, both sets of images are processed first. X-ray images are smoothed with a convolution filter, and then an edge detection algorithm is performed on them. The final processed X-ray image that is used for tracking is the edge detection image times a weighting factor, plus the smoothed intensity image. DRR images are not smoothed, but are input to the edge detection algorithm. The final processed DRR image is the edge detection image time a weighting factor, plus the original DRR image.
X4D has a job batch option, enabling multiple tracking optimizations to be run without user intervention.
Tutorials
Getting Started Tracking Bones
How To: Optimize Xray/DRR Settings
How To: Calculate Bone Poses from Mocap Data
Bone Tracking
4D Optimization
Matching Xray and DRR Images
Motion Capture Data
Working with Motion Capture Data
Image Metrics
The measurement used by the optimization algorithm to compare the X-ray and DRR images during object tracking.