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A Review of Three-Dimensional Medical Image Visualization
Liang Zhou1, Mengjie Fan1, Charles Hansen2
1National Institute of Health Data Science, Peking University, Beijing, China.
Health Data Science
|March 15, 2024
Summary
This review bridges the gap between medical experts and visualization researchers by detailing advanced three-dimensional (3D) medical image visualization techniques. It highlights fundamental methods and free software to enhance medical data analysis and decision-making for precision medicine.
Area of Science:
- Medical Imaging and Visualization
- Computer-Aided Diagnosis
- Biomedical Engineering
Background:
- Medical images are crucial in modern healthcare and a key area for visualization research.
- Medical professionals often lack awareness of advanced 3D visualization techniques that can improve data analysis and clinical decision-making.
- Bridging the gap between medical experts and visualization researchers is essential for advancing medical image analysis.
Purpose of the Study:
- To provide a comprehensive review of 3D medical image visualization techniques.
- To enhance medical experts' understanding and utilization of advanced visualization tools.
- To facilitate collaboration between medical and visualization communities for precision medicine.
Main Methods:
- Revisiting fundamental visualization techniques for diverse medical imaging modalities (e.g., CT, DTI).
- Reviewing state-of-the-art medical visualization based on a procedure-oriented classification of medical problems.
- Summarizing free software tools for medical image visualization, analysis, and segmentation.
Main Results:
- Identification of visualization techniques that enhance spatial perception critical for medical practices.
- A procedure-oriented classification of medical visualization for individual and population studies.
- A curated list of free software tools with internet links for various medical imaging applications.
Conclusions:
- 3D visualization techniques offer valuable tools for medical experts to address specific clinical challenges.
- The review serves as a quick reference for selecting appropriate visualization techniques based on medical problems and image modalities.
- Enhanced understanding and utilization of medical imaging data through accessible techniques and tools can advance precision medicine.

