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A review on biomedical image processing and future trends.

A P Dhawan1

  • 1Department of Electrical and Computer Engineering, University of Cincinnati, OH 45221-0030.

Computer Methods and Programs in Biomedicine
|March 1, 1990
PubMed
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Biomedical imaging has advanced significantly, with techniques like CT scans and MRI now standard clinical tools. Recent processing algorithms enhance diagnostic accuracy, improving patient care.

Area of Science:

  • Biomedical imaging and diagnostics
  • Medical image processing and analysis

Background:

  • The past two decades have seen rapid evolution in biomedical imaging, transforming experimental research into routine clinical applications.
  • Established modalities include computerized tomography (CT), magnetic resonance imaging (MRI), ultrasound, and nuclear medicine imaging.
  • Conventional image processing techniques have been adapted for biomedical applications, aiding analysis.

Purpose of the Study:

  • To review the current state-of-the-art techniques in biomedical image processing.
  • To discuss recent advances in algorithms for biomedical image processing, analysis, and understanding.
  • To comment on future trends in the field of biomedical imaging.

Main Methods:

  • Review of established and emerging image processing techniques.

Related Experiment Videos

  • Analysis of algorithms for image enhancement, gray-level mapping, and reconstruction.
  • Evaluation of recent advancements in biomedical image analysis and interpretation.

    • Main Results:

    • Biomedical imaging modalities have transitioned from research to widespread clinical use.
    • Image processing techniques are crucial for enhancing and analyzing diagnostic information.
    • Advanced algorithms show significant potential for improving diagnostic accuracy.

    Conclusions:

    • Biomedical image processing is vital for accurate diagnosis and patient care.
    • Continued advancements in algorithms will further enhance the utility of medical imaging.
    • The field is poised for further innovation in diagnostic capabilities.