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Medical images and automated interpretation.

J A Newell1

  • 1Department of Medical Physics and Biomedical Engineering, Queen Elizabeth Hospital, Birmingham, UK.

Journal of Biomedical Engineering
|November 1, 1988
PubMed
Summary

Automated interpretation of medical images is emerging, leveraging image processing and segmentation techniques. This field will grow due to complex imaging and expert shortages.

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Computer Vision

Background:

  • Human interpretation of medical images is complex and time-consuming.
  • Standard medical imaging methods and human interpretation factors are discussed.
  • Image processing aids human interpretation by refining raw image data.

Purpose of the Study:

  • To discuss the application of automated interpretation in medical imaging.
  • To consider factors influencing human clinical interpretation.
  • To highlight the relevance of automated image interpretation from other fields.

Main Methods:

  • Brief description of main medical imaging methods.
  • Mention of standard image processing techniques.
  • Discussion of image segmentation as a key initial step.

Main Results:

  • Some applications of automated medical image interpretation already exist.
  • Current applications vary in completeness.
  • Automated interpretation draws on experience from other fields.

Conclusions:

  • Automated medical image interpretation is a developing field.
  • Increasing complexity of medical imaging drives this development.
  • Shortage of human expertise further spurs the need for automated solutions.

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