X4D Conditional Entropy: Difference between revisions

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The cross-conditional entropy, ''H'', of the DRR image relative to the X-ray image is calculated and minimized by the optimization algorithm.
The cross-conditional entropy, ''H'', of the DRR image relative to the X-ray image is calculated and minimized by the optimization algorithm <ref>Wang F, Vemuri B, Rao M, Chen Y (2003). Cumulative residual entropy, a new measure of information & its application to image alignment. Proceedings of the Ninth IEEE International Conference on Computer Vision, October, 2003. DOI: 10.1109/ICCV.2003.1238395.</ref>.


[[Image:X4DConditionalEntropy.png]]
[[Image:X4DConditionalEntropy.png]]
:Reference: Wang F, Vemuri B, Rao M, Chen Y (2003). Cumulative residual entropy, a new measure of information & its application to image alignment. Proceedings of the Ninth IEEE International Conference on Computer Vision, October, 2003. DOI: 10.1109/ICCV.2003.1238395.


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! style="text-align:left;" | &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Parameters
! style="text-align:left;" | Parameters
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[[Image:CE_Parameters.png|250px|right|Parameters for Conditional Entropy Metric]]
[[Image:CE_Parameters.png|350px|right|Parameters for Conditional Entropy Metric]]


;View Weighting
;View Weighting
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;Constant DRR Scaling
;Constant DRR Scaling
: Whether or not to scale the DRRs for each view by a constant value for all iterations of an optimization. If false, each DRR will be scaled so that its maximum value is equal to the DRR image scale value (X-ray/DRR Settings widget). If true, a single scale value will be calculated during the first iteration and be used to scale the DRRs in all subsequent iterations.
: Whether or not to scale the DRRs for each view by a constant value for all iterations of an optimization. If false, each DRR will be scaled so that its maximum value is equal to the DRR image scale value ([[X4D_X-ray_and_DRR_Settings|<i>X-ray/DRR Settings</i>]] widget). If true, a single scale value will be calculated during the first iteration and be used to scale the DRRs in all subsequent iterations.


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Latest revision as of 17:27, 14 January 2021

The cross-conditional entropy, H, of the DRR image relative to the X-ray image is calculated and minimized by the optimization algorithm [1].

Parameters
Parameters for Conditional Entropy Metric
Parameters for Conditional Entropy Metric
View Weighting
This factor is used when evaluating a bone pose by comparing the DRR images to the X-ray images. It is the relative weight of the two views in the final image metric (0.0 = all view 1, 1.0 = all view 2). 0.5 means to weight each view equally.
Constant DRR Scaling
Whether or not to scale the DRRs for each view by a constant value for all iterations of an optimization. If false, each DRR will be scaled so that its maximum value is equal to the DRR image scale value (X-ray/DRR Settings widget). If true, a single scale value will be calculated during the first iteration and be used to scale the DRRs in all subsequent iterations.
  1. ↑ Wang F, Vemuri B, Rao M, Chen Y (2003). Cumulative residual entropy, a new measure of information & its application to image alignment. Proceedings of the Ninth IEEE International Conference on Computer Vision, October, 2003. DOI: 10.1109/ICCV.2003.1238395.
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