Image Processing and Medical Imaging
Defect Inspection System
- Main Goals
To develop image processing algorithms that support defect inspection of airplanes from digitized images acquired by X-ray films.
To construct an efficient GUI system in order to improve defect inspection.
To design a S/W infrastructure for parallel or distributed processing.
- Applied Techniques
Image processing algorithms and framework based on ITK library
Insight Segmentation and Registration Toolkit (ITK) library
Improvements in efficiency using GPU programming
Application of ACE framework for multi-processing and multi-threading models in distributed environments
ADAPTIVE Communication Environment (ACE) framework
Medical Imaging: V-Colonoscopy Project
- Main Goals
To develop algorithms for segmentation and reconstruction of human organs from images acquired by computed tomography (CT).
To design and implement a real-time surface rendering and volume graphics system for 3D visualization of reconstructed human organs.
To construct a S/W system for 3D visualization and navigation.
- Applied Techniques
Medical image processing algorithms to segment human organs
3D volume data reconstruction from 2D CT images
Direct and indirect volume rendering for 3D visualization
3D navigation system in order to inspect reconstructed human organs
Integrated GUI system for visualization and navigation
- Examples of Reconstructed Human Organs