2011 Summer Project Week SlidingOrganRegistrationFED

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  Projects List

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  Example sliding organ registration on artificial images. Compared to the fixed image, the moving image translates the subset of the upper tube with increasing intensity to the right by four pixels, and the subset of the bottom tube with decreasing intensity to the left by four pixels.

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  Displacement fields resulting from registering images from the XCAT software phantom.

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  Displacement field resulting from registering patient CT images (inhale+exhale) with the diffusive regularization.

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  Displacement field resulting from registering patient CT images (inhale+exhale) with the sliding anisotropic diffusive regularization.

Full Title of Project

Key Investigators

• Kitware: Danielle Pace, Stephen Aylward
• UNC: Marc Niethammer
• BWH: Sandy Wells, Petter Risholm

Objective

• We have developed a registration algorithm for images depicting sliding organs [1], which is available as a command-line module compatible with Slicer as part of TubeTK
• We are working on speeding the registration using Fast Explicit Diffusion (FED)

Approach, Plan

• Implement FED within the sliding organ registration software
• Demonstrate comparable result to current implementation (traditional finite difference explicit solution), with increased registration speed, on a small example

Progress

• Initial progress towards integrating FED into our registration algorithm
• Work in progress!

References

[1] D. Pace, A. Enquobahrie, H. Yang, S. Aylward, M. Niethammer. Deformable image registration of sliding organs using anisotropic diffusive regularization. IEEE ISBI 2011.

Delivery Mechanism

This work will be delivered to the NAMIC Kit as a

1. NITRIC distribution
2. Slicer Module
   1. Built-in:
   2. Extension -- commandline: YES
   3. Extension -- loadable: