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Intensity-based 2D-3D Medical Image Registration

Algorithms and Analysis
by Daniel Russakoff - Sold by Dodax EU
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Daniel Russakoff Intensity-based 2D-3D Medical Image Registration
Daniel Russakoff - Intensity-based 2D-3D Medical Image Registration

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Description

Intensity-based 2D-3D medical image registration is a special case of the pose estimation problem from computer vision with many applications in medicine. This work presents an overview of the 2D-3D intensity-based image registration problem in the medical domain as well as results from several methods developed to aid in its practice. In particular: 1) Light field rendering techniques from the graphics community are extended to rapidly generate digitally reconstructed radiographs (DRRs). 2) A full 2D-3D registration algorithm using light field DRRs is presented and validated against a real, clinical gold standard. 3) A new, hybrid similarity measure is presented that is a weighted combination of an intensity-based image similarity measure and a point-based measure incorporating a single fiducial marker. 4) Finally, a novel similarity measure called regional mutual information (RMI) is introduced. RMI is an extension of mutual information which incorporates spatial information in a principled way. The additional spatial information helps make its use as a similarity measure much more robust to initial misregistration than standard mutual information.

Contributors

Author Daniel Russakoff

Product Details

DUIN 2OVTDR6SUEO

GTIN 9783639119541

Pages 136

Product type Paperback

Dimension 8.66 x 5.91 x 0.28  inches

Product Weight 6.91 ounces

$78.35
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