software tools for on demand slice reconstruction
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Software tools for on demand slice reconstruction Jan-Willem Buurlage j.buurlage@cwi.nl Computational Imaging group, CWI, Amsterdam Focused Mini-Workshop on Real-Time Tomography Amsterdam, The Netherlands, April 11, 2017 Jan-Willem Buurlage


  1. Software tools for on demand slice reconstruction Jan-Willem Buurlage j.buurlage@cwi.nl Computational Imaging group, CWI, Amsterdam Focused Mini-Workshop on Real-Time Tomography Amsterdam, The Netherlands, April 11, 2017 Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 1 / 18

  2. Reconstruction for real-time tomography It is infeasible to reconstruct entire 3D volume in real-time Possible to reconstruct individual slices Show these slices in context ◮ 2D slices together in 3D space ◮ Low resolution 3D preview In a setup with many degrees of freedom, context is especially important. Show projections and acquisition geometry together with reconstruction Rich feedback gives intuition even if the user is unfamiliar with the application Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 2 / 18

  3. On demand reconstruction Idea: Show slices of which the orientation can be changed While changing the orientation of a slice, a low-resolution preview from a 3D reconstruction is shown When a new orientation is chosen, the new slice is reconstructed on-the-fly To realize this, we need to revisit the way we implement the tomography pipeline. Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 3 / 18

  4. Simple pipeline Acquisition Reconstruction Scanner Cluster Workstation Visualization Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 4 / 18

  5. Scanner → Workstation Acquisition Reconstruction Scanner Cluster Workstation Visualization Show the acquisition geometry together with the reconstruction Show the projection images relative to the reconstruction Any other (diagnostic) information for the acquisition that is relevant to the reconstruction Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 5 / 18

  6. Workstation → Cluster Acquisition Reconstruction Scanner Cluster Workstation Visualization Reconstruct on demand The building block for realizing the real-time slicer idea Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 6 / 18

  7. Workstation → Scanner Acquisition Reconstruction Scanner Cluster Workstation Visualization (Outlook) Measure on demand , control experiment Visualizer and control software in one package Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 7 / 18

  8. Cluster → Scanner Acquisition Reconstruction Scanner Cluster Workstation Visualization (Outlook) Algorithm controlled dynamic measurements Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 8 / 18

  9. Outline Motivation 1 Technology and Software 2 Demo 3 Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 9 / 18

  10. Extending the pipeline We want all of the components to be able to interact in real-time Communication is done using packets , that manage the scene , and represent changes, updates, ... Important requirement: framework should support all pipeline topologies, arbitrary (physical) locations of components Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 10 / 18

  11. Slicing tool Current situation: Acquisition Reconstruction Simulation Cluster Workstation Visualization Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 11 / 18

  12. Slicing tool Implementation of the extended pipeline in a software package Proof-of-concept; control center for a distributed reconstruction pipeline Extensible software. Independent modules: ◮ Scene management ◮ Reconstruction ◮ Geometry ◮ Easy to add more modules, e.g. Partitioning ◮ . . . Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 12 / 18

  13. Slicing tool Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 13 / 18

  14. Technology Written in C++, with Python bindings available Current implementation based on: ◮ ZeroMQ for communication ◮ OpenGL for visualization Standardized description of acquisition geometries and data Communication protocol based on message passing Visualization server as the control center All these components are independent, and will all be available as open source software. Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 14 / 18

  15. Code example (Cluster) import tomop c a l l b a c k ( o r i e n t a t i o n ) : def slice_data ( o r i e n t a t i o n ) return s e r v e r = tomop . s e r v e r ( "Shepp − Logan" ) s e r v e r . set_callback ( c a l l b a c k ) s e r v e r . s e r v e () Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 15 / 18

  16. Outline Motivation 1 Technology and Software 2 Demo 3 Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 16 / 18

  17. Conclusion In a real-time setting, we can show and reconstruct (ortho)slices instead of 3D volumes By showing these in context, we try to regain some of the intuition we get from a full reconstruction We are experimenting with ways to realize a simple real-time pipeline Jan-Willem Buurlage (CI group, CWI) Tooling for RT tomography 2017-04-11 17 / 18

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