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Automated Interpretation of Cardiac Scintigrams

  • Jens Richter
  • Anders Ericsson
  • Kalle Åström
  • Fredrik Kahl
  • Lars Edenbrant
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

The purpose of this study was to develop an automated method for the segmentation of the heart in a 3-D cardiac scintigram. This is immediately useful for eliminating a manual step in a previous version of a decision support system.

The automatic segmentation method uses a statistical 3D-model, inspired by Active Shape, which locates the base and apex automatically from a cardiac scintigram. Key features of this algorithm are that it can handle cases where there is no or very little activity in the apex and also if there are additional parts of the heart where there is little activity. The algorithm has been tested on approximately 2000 cardiac scintigrams.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jens Richter
    • 2
  • Anders Ericsson
    • 1
  • Kalle Åström
    • 1
  • Fredrik Kahl
    • 1
  • Lars Edenbrant
    • 3
  1. 1.Mathematics, Centre for Mathematical Sciences, Lund Institute of TechnologyLund UniversitySweden
  2. 2.WeAidUIDEONLundSweden
  3. 3.Department of Clinical PhysiologyLund UniversityLundSweden

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