Medical Image Processing in an Era of High-Performance Computing.

Area of Science:

• Medical Informatics
• Radiology
• Computer Science

Background:

• Medical imaging practices are advancing rapidly due to cost-effective computing and networking.
• Significant improvements in medical image processing over five years include 3D display, visualization, and analysis.
• Picture Archiving and Communication Systems (PACS) facilitate image transmission and retrieval.

Purpose of the Study:

• To review advancements in medical image processing and computing.
• To identify emerging trends such as teleradiology, telesurgery, and virtual reality applications.
• To highlight ongoing challenges in image segmentation, registration, and multimodal fusion.

Main Methods:

• Integration of multiple imaging modalities.
• Development of sophisticated 3D display and visualization techniques.
• Utilizing flexible environments for imaging analysis and PACS.

Main Results:

• Enhanced capabilities for image analysis, transmission, and retrieval.
• Emerging applications in teleradiology, telesurgery, and virtual reality.
• Progress in building large visual databases like the Visible Human Project.

Conclusions:

• Dynamic electronic atlases require new visual knowledge representation techniques and standardization.
• Linking visual information to medical records, research, and education is crucial.
• Reasoning with visual information in multimedia systems presents a key challenge for medical informatics researchers.