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Medical images and automated interpretation
1Department of Medical Physics and Biomedical Engineering, Queen Elizabeth Hospital, Birmingham, UK.
Journal of Biomedical Engineering
|November 1, 1988
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.
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.
