System and method for learning-based 2D/3D rigid registration for image-guided surgery using Jensen-Shannon divergence
US7940999B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2007 |
| Grant date | May 10, 2011 |
| Priority date | — |
| Expiry date | Mar 9, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of registering 3-dimensional digitized images to 2-dimensional digitized images during a medical procedure includes providing a pair of correctly-registered training images L={lr, lf} and their joint intensity distribution pl(ir, if), wherein ir and if are reference and floating images, respectively, providing a pair of observed images O={or, of} and their joint intensity distribution po(ir, if), mapping a marginal intensity distribution of the observed pair O={or, of} to a marginal intensity distribution of the training pair L={lr, lf}, and estimating a set of parameters T that registers image of to image or by maximizing a weighted sum of a Jensen-Shannon divergence (JSD) of a joint intensity distribution of the observed pair and a joint intensity distribution of the training pair and a similarity measure between the observed images.
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