research-article

Comparison of Four Freely Available Frameworks for Image Processing and Visualization That Use ITK

Authors:

Robert Van Uitert,

Jan-Martin KuhnigkAuthors Info & Claims

IEEE Transactions on Visualization and Computer Graphics, Volume 13, Issue 3

Pages 483 - 493

https://doi.org/10.1109/TVCG.2007.1001

Published: 01 May 2007 Publication History

Abstract

Most image processing and visualization applications allow users to configure computation parameters and manipulate the resulting visualizations. SCIRun, VolView, MeVisLab, and the Medical Interaction Toolkit (MITK) are four image processing and visualization frameworks that were built for these purposes. All frameworks are freely available and all allow the use of the ITK C++ library. In this paper, the benefits and limitations of each visualization framework are presented to aid both application developers and users in the decision of which framework may be best to use for their application. The analysis is based on more than 50 evaluation criteria, functionalities, and example applications. We report implementation times for various steps in the creation of a reference application in each of the compared frameworks. The data-flow programming frameworks, SCIRun and MeVisLab, were determined to be best for developing application prototypes, while VolView was advantageous for nonautomatic end-user applications based on existing ITK functionalities, and MITK was preferable for automated end-user applications that might include new ITK classes specifically designed for the application.

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Cited By

Afzal SGhani SHittawe MRashid SKnio OHadwiger MHoteit I(2023)Visualization and Visual Analytics Approaches for Image and Video Datasets: A SurveyACM Transactions on Interactive Intelligent Systems10.1145/357693513:1(1-41)Online publication date: 9-Mar-2023
https://dl.acm.org/doi/10.1145/3576935
Buck SZell A(2019)CSJournal of Intelligent and Robotic Systems10.1007/s10846-018-0831-794:2(371-387)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s10846-018-0831-7
Witt MJansen CKrefting DStreit A(2017)Fine-grained Supervision and Restriction of Biomedical Applications in Linux ContainersProceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing10.1109/CCGRID.2017.53(813-822)Online publication date: 14-May-2017
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Index Terms

Comparison of Four Freely Available Frameworks for Image Processing and Visualization That Use ITK
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Computer graphics
    1. Image manipulation
    2. Rendering
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features
        Data types and structures
        Frameworks
      2. Language types
    2. Software libraries and repositories

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Published In

cover image IEEE Transactions on Visualization and Computer Graphics

IEEE Transactions on Visualization and Computer Graphics Volume 13, Issue 3

May-June 2007

238 pages

ISSN:1077-2626

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Copyright © 2007.

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IEEE Educational Activities Department

United States

Publication History

Published: 01 May 2007

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Cited By

Afzal SGhani SHittawe MRashid SKnio OHadwiger MHoteit I(2023)Visualization and Visual Analytics Approaches for Image and Video Datasets: A SurveyACM Transactions on Interactive Intelligent Systems10.1145/357693513:1(1-41)Online publication date: 9-Mar-2023
https://dl.acm.org/doi/10.1145/3576935
Buck SZell A(2019)CSJournal of Intelligent and Robotic Systems10.1007/s10846-018-0831-794:2(371-387)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s10846-018-0831-7
Witt MJansen CKrefting DStreit A(2017)Fine-grained Supervision and Restriction of Biomedical Applications in Linux ContainersProceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing10.1109/CCGRID.2017.53(813-822)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1109/CCGRID.2017.53
Zeng YZhao YTang PLiao MLiang YLiao SZou B(2017)Liver vessel segmentation and identification based on oriented flux symmetry and graph cutsComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.07.002150:C(31-39)Online publication date: 1-Oct-2017
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Rey ACastro ADafonte JArcay B(2012)A novel visualizer of medical images by integrating an extensible plugin frameworkProceedings of the 4th international conference on Ambient Assisted Living and Home Care10.1007/978-3-642-35395-6_6(41-48)Online publication date: 3-Dec-2012
https://dl.acm.org/doi/10.1007/978-3-642-35395-6_6
Lilja MFrattasi SMarchetti N(2011)An enhanced version of ITK-SNAP for preoperative inspection and refinement of surface mesh modelsProceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies10.1145/2093698.2093877(1-5)Online publication date: 26-Oct-2011
https://dl.acm.org/doi/10.1145/2093698.2093877
Rieder CPalmer SLink FHahn H(2011)A shader framework for rapid prototyping of GPU-based volume renderingProceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization10.1111/j.1467-8659.2011.01952.x(1031-1040)Online publication date: 1-Jun-2011
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Tautz LHennemuth APeitgen H(2011)Motion analysis with quadrature filter based registration of tagged MRI sequencesProceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges10.1007/978-3-642-28326-0_8(78-87)Online publication date: 22-Sep-2011
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Fischer FSelver MHillen WGüzeliş C(2010)Integrating segmentation methods from different tools into a visualization program using an object-based plug-in interfaceIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2010.204424314:4(923-934)Online publication date: 1-Jul-2010
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Meyer-Spradow JRopinski TMensmann JHinrichs K(2009)VoreenIEEE Computer Graphics and Applications10.5555/1720672.172067429:6(6-13)Online publication date: 1-Nov-2009
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