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Integrating GPU Tube Visualization into Slicer Tractography Module

This project focuses on enhancing the Slicer software by integrating a GPU-powered tube visualization feature within the tractography module. The implementation includes a simple filter that transforms input PolyData into degenerate quads. Utilizing vertex and fragment programs, the visualization renders a smooth curved tube surface. Key challenges faced include compiling with VTK 5.1 and debugging DTMRI processes. The collaboration involves experts from MGH, Northwestern, BWH, and MIT, with the goal to finalize integration and debugging by the end of Programming Week.

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Integrating GPU Tube Visualization into Slicer Tractography Module

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  1. EPI to MR Registration:Integrating a GPU Tube Visualization for the Tractography Module within Slicer Plan/Expected Challenges/Publication Team Algorithms: a simple filter which converts all lines in the input PolyData to degenerate quads. A vertex program puts the vertices of the quad at the right place, and then a fragment program renders this quad like a curved tube surface. Steve Pieper, MGH (algorithms) (contact) Thomas Lechner, Northwestern (software) Nicole Aucoin, BWH (compiling with VTK 5.1) Lauren O’Donnell, MIT (debugging DTMRI) Mathieu Malaterre, KW (VTK guru) Software: integrate tube visualization with tractography module in slicer; this visualization currently requires vtk 5.0 Accomplished by end of Programming Week • Compiled Slicer with Vtk 5.1 • Some debugging of DTMRI (needs more) • Some (untested) integration code

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