Biomedical image processing

Area of Science:

• Biomedical engineering
• Medical imaging
• Computer science

Background:

• Biomedical image processing is crucial for medical diagnosis, encompassing signal acquisition, image formation, processing, and display.
• The field integrates hardware and software to create effective clinical imaging devices.

Purpose of the Study:

• To review the fundamentals and applications of biomedical image processing.
• To discuss state-of-the-art image processing systems and clinical imaging devices.
• To highlight advancements and challenges in specific areas like heart imaging and automated cytology.

Main Methods:

• Review of basic image processing techniques (e.g., filtering, noise reduction, texture analysis).
• Categorization and discussion of general-purpose image processing systems and image analyzers.
• Examination of radiological imaging (CT, ultrasound, nuclear medicine) and microscopic imaging techniques.

Main Results:

• Key image processing techniques and their applications are detailed.
• Radiological imaging modalities like CT and ultrasound are evolving for dynamic and functional assessments.
• Microscopic imaging has led to automated clinical devices like the white blood cell analyzer and chromosome karyotyper.

Conclusions:

• Biomedical image processing is a rapidly advancing field with significant impact on medical diagnosis and research.
• Automation in cytology and histology shows promise for future clinical applications.
• Continued development in imaging systems and techniques is essential for progress in healthcare.