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