Difference between revisions of "2008 Winter Project Week VolumeRenderingUsingCuda"

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<h1>Approach, Plan </h1>
 
<h1>Approach, Plan </h1>
Our approach is described by the references below. Our challenge is to build the ITK infrastructure (such as new ITK iterators) to support this algorithm. Our main purpose at the Project Week is to collaborate on new algorithms and clinical data to provide the best solutions for our DBP partners.
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Our approach is currently using a Surface rendering and a Maximum Intensity Projection to render on the CUDA Hardware. The current source is located at http://www.na-mic.org/svn/Slicer3/branches/cuda/Modules/VolumeRenderingCuda.
 
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Revision as of 22:09, 17 December 2007

Home < 2008 Winter Project Week VolumeRenderingUsingCuda
Volume Rendering with CUDA


Key Investigators

  • BWH: Nobuhiko Hata, Benjamin Grauer
  • Nicholas Herlambang
  • Nagoya University: Kensaku Mori

Objective

We are creating a new Volume Rendering Module based Slicer3 to render 4D High Resolution Datasets using hardware accelerated with CUDA by NVidia.

The Objectives of this project is to use modern hardware acceleration for registration and navigation during a running surgery.

Approach, Plan

Our approach is currently using a Surface rendering and a Maximum Intensity Projection to render on the CUDA Hardware. The current source is located at http://www.na-mic.org/svn/Slicer3/branches/cuda/Modules/VolumeRenderingCuda.

Progress

June 2007 Project Week

During this Project Week, we did a lot of algorithmic design work, focusing on leveraging optimal or geodesic path information to provide for volumetric segmentations of fiber bundles. Working with Marek Kubicki and the Harvard DBP, we were able to begin the process of applying our algorithm to the full cingulum bundle with new labelmaps and to a new fiber bundle - Arcuate. We have recently achieved significant results in volumetric segmentations using a locally-constrained region-based technique (see the images above).

Jan 2007 Project Half Week

We finished the itkDirectionalIterator which will be needed in the Fast Sweeping implementation. Furthermore, we made progress in porting our Matlab code to ITK.



References

  • to be entered here