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The SCIRun and BioPSE Problem Solving Environments

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Chris Johnson, Rob MacLeod, and David Weinstein Scientific Computing and Imaging Institute University of Utah Background PSE background BioPSE/ SCIRun history map3d ... – PowerPoint PPT presentation

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Title: The SCIRun and BioPSE Problem Solving Environments


1
The SCIRun and BioPSE Problem Solving Environments
  • Chris Johnson, Rob MacLeod, and David Weinstein
  • Scientific Computing and Imaging Institute
  • University of Utah

2
(No Transcript)
3
Background
  • PSE background
  • BioPSE/ SCIRun history
  • map3d history
  • Role of the NCRR Center

4
Integration and Interaction
What If?
user guides
5
SCIRun
  • Computational Workbench
  • Problem Solving Environment
  • Computational Steering
  • Visual Supercomputing
  • Interactive Computing
  • Interactive Computational Science

6
SCIRun
7
SCIRun/BioPSE PSE
8
BioPSE A Computational Workbench
  • Common Framework for Bioelectric Field Research
  • - Exchanging tools and datasets
  • - Presenting results
  • - Comparing methods

9
Minor Challenges
  • Accommodating parallelism
  • Large data sets
  • Existing code
  • 3D user interaction
  • Efficiency
  • Robustness
  • Usability

10
SCI Institute PSEs
Uintah
BioPSE
SCIRun
11
PSE Relationships
12
Elements of BioPSE
  • Visual programming Environment

13
BioPSE
Interactivity
Program Design
Portability
User Interface
Integration
Data Management
Extensibility
14
Extensibility
  • Leverage existing utilities
  • Extensibility through bridges

GENESIS
Matlab
libimage
SQL
lib
socket
BioPSE
Teem
lib
mpeg
lib
15
BioPSE
  • Build more bridges
  • - IDL
  • - ITK
  • - VTK
  • - VisPak
  • - Insight
  • - Others?

BioPSE
16
BioPSE Software Engineering
  • Project management
  • Technical Manager
  • Software Engineer
  • Technical Manager
  • Software Engineer

Possible Features
Modules Nets Packages
Microsoft Project
Research, Requests, Contribs
  • BioPSE Exec Committee
  • External Advisory Board
  • Quarterly releases

17
map3d History and Concepts
18
map3d History
  • 1990 First SGI, first GL, first map3d
  • 1992/3 First papers
  • Visualization in Biomedical Computing 1992
  • IEEE Visualization Conference 1992
  • Visualizing Bioelectric Fields (Comp. Graphics
    and Appl.m 1993
  • IEEE EMBS Conference, 1993
  • 1999 Started conversion to OpenGL
  • 2000 First release (Version 5.0)

19
Why map3d?
  • Mapping the driving application
  • Spatiotemporal signals
  • Electrophysiology of the heart
  • Graphics hardware and GL
  • Interactivity is essential
  • GL is (was) simple

20
What Does map3d Need?
  • Geometry
  • Surface or pseudo-surface
  • Connectivity and facets
  • Data
  • Time signal for each point in geometry
  • Computer
  • SGI, Windows, Linux
  • Mac/OSX, Sun coming soon

21
Relationship to NCRR Center
  • NCRR Center for Bioelectric Field Modeling,
    Simulation, and Visualization

22
Aims of NCRR Center
  • Develop and Implement
  • An integrated, extensible, problem-solving
    environment (BioPSE)
  • Geometric modeling tools
  • Bioelectric field simulation tools
  • Visualization methods and tools

23
Objectives of NCRR Center
  • Disseminate or Provide
  • State-of-the-art software developed within the
    Center
  • An on-line database of geometric models and
    simulation data
  • Short courses on the use of Center software tools
  • Workshops on bioelectric field research

24
BioPSE
Interactivity
Program Design
Portability
User Interface
Integration
Data Management
Extensibility
25
Scalar Field Visualization
  • Summary

Goals
Proposed research
Spatiotemporal view
map3d
Model
Provide quantitative feedback
Interactive interrogation
Core

Sim
Vis

BioPSE
Leverage commodity hardware
Interactiveperformance
26
Scientific Computing and Imaging
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