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Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using support vector machines

Author

Summary, in English

The purpose of this study was to develop a new completely automated method for the interpretation of ventilation-perfusion (V-P) lung scintigrams for the diagnosis of pulmonary embolism. A new way of extracting features, characteristic for pulmonary embolism is presented. These features are then used as input to a Support Vector Machine, which discriminates between pulmonary embolism or no embolism. Using a material of 509 training cases and 104 test cases, the performance of the system, measured as the area under the ROC curve, was 0.86 in the test group. It is concluded that a completely automatic method can be used for interpretation of V-P scintigrams. It is faster and more robust than a previously presented method [4,5] and the accuracy is at the same level as the the previous method. It also handles abnormalities in the lungs.

Publishing year

2003

Language

English

Pages

415-421

Publication/Series

13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings/Lecture Notes in Computer Science

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

Research group

  • Clinical Physiology and Nuclear Medicine, Malmö
  • Nuclear medicine, Malmö

ISBN/ISSN/Other

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