Trainable models for the interpretation of echocardiogram images

  • Richard A Baldock
8. Rule Based Systems And Learning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 511)


In this paper we report on the use of explicit models in the interpretation of echocardiogram images. The problem is considered as an example of a general biomedical image interpretation task and the modelling techniques used can be applied to a wide range of problems. The models are built as a hierarchy of components and the parameters of each component are determined from training examples and prior “expert” knowledge. For each component the model encodes information about the average case and information about the expected distributions, for example sizes, shapes and positions. The models are used within the interpretation process to assess hypothesised matches and to guide further processing. Details of the design and implementation of the model components, the refinements and training techniques and the results of application to the echocardiogram images are presented.


Biomedical image interpretation ultrasound cardiac measurement model-based methods shape models 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Richard A Baldock
    • 1
  1. 1.MRC Human Genetics UnitWestern General HospitalEdinburghUK

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