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Biomedical Visualization and Imaging

This project aims to develop integrated and high performance 3D visualization, imaging, modeling and simulation techniques for innovative biomedical applications. The research team consists of a cohort of computer scientists, biomedical researchers and clinicians. The overall research goal is to develop innovative 3D techniques and applications to efficiently process and analyze biomedical data collected from clinical and biological structures, and to combine the data with computer models using computer graphics and simulation techniques for biomedical research, and medical diagnosis and treatment. The research plan includes the developments of both new visualization techniques and innovative biomedical applications. The technical areas will focus on: interactive rendering algorithms, 3D image analysis and segmentation, volume modeling and data fusion, virtual and augmented reality environment, and network-based visualization.

The technical development will be conducted in the context of practical biomedical applications in data analysis, medical diagnosis, surgery and training. The two main applications are: 3D microscopy visualization and imaging, and craniofacial surgical planning and growth prediction.

Project Presented By

Fang, Shiaofen

Position:	Chair, Professor
Mail:
Phone:	317-274-9731
Url:	http://www.cs.iupui.edu/~sfang

Education Details

PhD:	Computer Science University of Utah 1992

Research Interests

My primary research interests are in visualization, biomedical imaging, computer graphics, and geometric modeling. My early research focus had been on Volume Visualization and Volume Graphics. Major projects include deformable volume modeling and rendering, hardware assisted voxelization, volume fusion, 3D microscopy visualization, and immersive volume visualzation. A common theme of these research projects is the efficient and effective visaulization of scientific data. Although this line of research is still a major part of my work, My recent research interests have been shifted more towards the direction of medical image analysis and visual data mining. These include 3D image analysis for medical diagnosis, surface analysis of medical scans, 3D surface reconstruction, and knowledge discovery through information visualization.