Fakultät Informatik

SEP Visualizing the Visible Human

Background:

Content of this SEP is the registration, processing, and visualization of the datasets available through the  Visible Human Project. These datasets comprise full-body scans of two human cadavers. Each scan contains multiple modalities such as frozen and normal CT scans, MRI scans, and fullcolor (photographic) cross-sections.

Visualization of these datasets is still a challenge due to their sheer size (the frozen CT modality is approx. 1GB, photographic cross-sections are another 13GB). Over that each dataset contains cross-sections of different position and resolution. The attendee is thus supposed to first register the provided data in order to merge it to a single consistent representation. Using this representation, further processing and visualization strategies should be implemented.

The focus in this SEP will be to find new visualization modes for large multimodal medical data. The dataset itself, processing and compression tools, as well as a basic rendering module in OpenGL will be provided. Optionally, novel methods for making the visualization available in the www can be evaluated.

Results:

  • Exposee (in German) [PDF]


Student: S. Bodensteiner
Supervisor: J. Schneider [ homepage]

 

News

Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.

 

PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.