Related Experiment Video
Updated: Sep 13, 2025
14:15
Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
Published on: January 11, 2020
7.2K
SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas
Jiatian Zhang1,2, Chunxiao Xu1,2, Xinran Xu1,2
1School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
Journal of Imaging
|July 25, 2025
Summary
This study introduces SegR3D, a novel 3D visualization system for meningiomas. SegR3D enhances tumor analysis and surgical planning by providing superior visual accuracy compared to traditional methods.
Area of Science:
- Medical Imaging
- Neurosurgery
- Computer Graphics
Background:
- Meningiomas are common primary intracranial tumors.
- Accurate visualization is crucial for diagnosis and surgical planning.
- Current methods may lack detail for complex cases.
Purpose of the Study:
- To introduce SegR3D, an innovative realistic 3D medical visualization system.
- To improve the visual analysis and preoperative planning for meningiomas.
- To evaluate the efficacy of SegR3D against conventional visualization techniques.
Main Methods:
- Developed a 3D medical image segmentation pipeline using semi-supervised learning.
- Integrated segmentation masks and original images into a realistic rendering pipeline.
- Proposed a novel importance transfer function and employed physically based rendering with advanced illumination.
Main Results:
- SegR3D effectively generates lesion masks and visualizes tumor structures.
- The importance transfer function highlights areas of interest.
- User studies with medical practitioners showed SegR3D's superior efficacy in visual analysis.
Conclusions:
- SegR3D offers enhanced visualization of meningiomas.
- The system aids radiologists and neurosurgeons in better understanding tumor characteristics.
- SegR3D represents a significant advancement over conventional meningioma visualization methods.
