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Introducing CAVASS

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Title: Introducing CAVASS


1
IntroducingCAVASS
  • George Greveraa,b, Jayaram Udupab, Dewey Odhnerb,
    Ying Zhugeb, Andre Souzab, Tad Iwanagab, and
    Shipra Mishrab
  • aDepartment of Mathematics and Computer Science,
    Saint Josephs University, 5600 City Avenue,
    Philadelphia, PA 19131
  • bMedical Image Processing Group (MIPG),
    Department of Radiology, University of
    Pennsylvania, 423 Guardian Drive, 4th Floor
    Blockley Hall, Philadelphia, PA 19104-6021

2
What is CAVASS?
  • A CAVA Software System
  • What is CAVA?
  • Computer Assisted Visualization and Analysis
  • So CAVASS is a Computer Assisted Visualization
    and Analysis Software System

3
3D CAVA Software Systems (MIPG)
  • DISPLAY mini computer frame buffer 1980
  • DISPLAY82 mini computer frame buffer 1982
  • 3D83 GE CT/T 8800 1983
  • 3D98 GE CT/T 9800 1986
  • 3DPC PC-based 1989
  • 3DVIEWNIX Unix, X-Windows 1993
  • CAVASS platform independent, wxWidgets 2007

4
What is CAVASS?
  • Next generation of 3DVIEWNIX.
  • development started in 1987
  • released in 1993
  • development dates back to the 70s
  • free
  • runs on Unix and subsequently Linux
  • 60 person years of effort
  • distributed to 100s of sites
  • basis for over 15 specialized packages/apps
  • Why CAVASS?

5
Significant, more recent developments
  • PC platform matures.
  • price spirals downward
  • performance increases dramatically
  • supplant Unix as the scientific workstation of
    choice
  • Network bandwidth greatly increases.
  • Useable parallel processing standards are defined
    and become freely available.
  • Toolkits such as VTK and ITK become freely
    available.
  • GUI concept matures and platform independent
    libraries are developed.

6
CAVASS features
  • Image processing
  • for enhancing information about and defining an
    object system
  • Visualization
  • for viewing and comprehending an object system
  • Manipulation
  • for altering an object system (virtual surgery)
  • Analysis
  • for quantifying information about an object
    system
  • Especially for large, multidimensional (at least
    3D), possibly multimodality, data sets.

7
CAVA User Groups
  • UG1 CAVA basic researchers/technology
    developers
  • UG2 CAVA application developers
  • UG3 Users of CAVA methods in clinical research
  • CAVASS is not aimed at
  • UG4 Clinical end users in patient care

8
Key CAVASS features
  • Built upon our experience with 3DVIEWNIX.
  • Leverages the existing 3DVIEWNIX software base
    and user interface.
  • Port to Windows and Mac OS with continued support
    for Unix and Linux.
  • Implement parallel algorithms for time consuming
    operations.
  • Support for stereo rendering.
  • Interface to ITK.

9
Focus of the talk
  • Overview of CAVASS software
  • Other CAVASS related papers in Visualization
    Conference
  • 6509-66 Image Processing Aspects
  • 6509-03 in Visualization Conference

10
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11
An example of the CAVASS DICOM header explorer
12
DICOM Support
  • Dont reinvent the wheel for DICOM
    networking/image query and retrieve capability
  • Integrate with commonly available DICOM
    networking software
  • SimpleDICOM receiver
  • from the University of Pittsburg Department of
    Radiology
  • Windows platform only
  • Conquest DICOM server
  • Windows and Linux with source code
  • eFilm workstation package
  • includes a DICOM server (version 1.5.3 was the
    last free version)
  • DCMTK
  • freely available for Linux, Unix, and Windows
    with source code

13
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14
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15
Visualization and CAVASS
  • All of the most popular modes of visualization
    are incorporated into CAVASS.
  • various 2D slice modes
  • reslicing
  • MIP
  • surface rendering
  • volume rendering
  • animation

16
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17
An example of overlaid slice display in CAVASS on
the Windows operating system.
18
Another example of overlaid slice display in
CAVASS.
19
3D rendering in CAVASS
  • Surface rendering
  • utilizes digital shell and triangulated shell
    (t-shell) rendering algorithms
  • operates 6 to 30 times faster entirely in
    software than hardware-based rendering
  • implemented only in sequential and not parallel
    mode (because of their existing high speed)

20
3D rendering in CAVASS
  • Volume rendering
  • based on shell rendering
  • implemented in parallel mode
  • compared to the implementation in VTK
  • CAVASS operates at least as fast as VTK and often
    achieves superior performance by a factor of 1.5
    to 5

21
Examples of triangulated shell (t-shell)
rendering in CAVASS on the Windows operating
system.
22
Head mounted display employed by CAVASS for
stereo viewing.
23
Portable graphics user interface
  • Considered Qt, wxWidgets (formerly wxWindows),
    and FLTK.
  • Qt proprietary, closed, fees
  • FLTK free but doesnt maintain native
    look-and-feel
  • wxWidgets
  • one C API for all OSs
  • maintains native look-and-feel
  • free, open source, multiplatform
  • portable support for threads, copy-paste,
    drag-and-drop, print, etc.

24
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25
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26
Experimental results
27
Description of datasets of varying sizes used in
the comparisons.
28
Surface rendering timing comparison for CAVASS
shell rendering (sequential implementation with
and without antialiasing) and surface rendering
as implemented in VTK.
29
Volume rendering timing comparison for sequential
and parallel implementations of CAVASS volume
rendering, VTK ray casting, and VTK 2D texture
mapped volume rendering.
30
Time required for interpolation from anisotropic
to isotropic data for various dataset sizes and
CAVASS and ITK implementations.
Multithreaded ITK employed a dual processor
system and parallel CAVASS employed two single
processor systems to afford a similar comparison.
31
Parallelism
  • Considered
  • MPI/OpenMPI
  • Message Passing Interface
  • OpenMP
  • Open specifications for Multi Processing

32
Parallelism
  • MPI
  • free (for both Windows, Linux, and Unix)
  • part of base Linux install
  • COW (cluster of workstations model)
  • leverages existing hardware/computers
  • optional, inexpensive network upgrade
  • easily expandable
  • OpenMP
  • requires purchase of specialized compilers
  • multi-threaded, shared memory parallelism model
  • requires purchase of expensive multiprocessor
    systems

33
Parallelism recommendation
  • CAVASS uses MPI.

YOU ALREADY
34
Thanks for your attention!
  • Information about CAVASS is available from
    www.mipg.upenn.edu/cavass.
  • Release date July/August 2007.
  • The authors gratefully acknowledge NIH grant
    number R01-EB004395-01 for support of this work.

35
Other CAVASS related presentations
  • In Visualization Conference
  • 6509-66 Image Processing Aspects
  • 6509-03 Visualization Aspects
  • See www.mipg.upenn.edu/cavass
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