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Automated interpretation of cardiac scintigrams

På svenska

Author

  • J Richter
  • Anders Ericsson
  • Karl Åström
  • Fredrik Kahl
  • L Edenbrant

Summary, in English

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 axe additional parts of the heart where there is little activity. The algorithm has been tested on approximately 2000 cardiac scintigrams.

Publishing year

2003

Language

English

Pages

565-570

Publication/Series

Lecture Notes in Computer Science (Image Analysis, Proceedings)

Volume

2749

Document type

Conference paper

Publisher

Springer

Topic

  • Respiratory Medicine and Allergy
  • Cardiac and Cardiovascular Systems

Conference name

13th Scandinavian Conference, SCIA 2003

Conference date

2003-06-29 - 2003-07-02

Conference place

Halmstad, Sweden

Status

Published

ISBN/ISSN/Other

  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 978-3-540-40601-3