Enhancing and Parallelizing Legacy Software for Medical Imaging --A Case Study

  • Authors:

  • Jürgen Vörding;Maraike Schellmann;Sergei Gorlatch

  • Affiliations:

  • University of Münster, Germany;University of Münster, Germany;University of Münster, Germany

  • Venue:
  • Proceedings of the 2006 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the fifth SoMeT_06
  • Year:
  • 2006

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Abstract

This paper deals with legacy software in the field of numerical algorithms for medical imaging. We describe our work on analyzing, restructuring and enhancing large-scale, monolithic programs in the C programming language, which were developed for creating high-quality medical images from the data acquired using PET --Positron Emission Tomography. The main contribution of the paper is a systematic method of making such programs better structured and more understandable, and also accelerating them by means of parallelization and implementation on parallel multi-processor architectures.