Project Leaders

profile_image
Dr. Daniel Baum
Phone:+49 30 84185-107Fax:+49 30 84185-107
Email:baum@...

ZIB, Takustr. 7, D-14195 Berlin-Dahlem, Germany

Zuse Institute Berlin (ZIB)

profile_image
David Knötel
Phone:+49 30 84185-151Fax:+49 30 84185-125

ZIB, Takustr. 7, D-14195 Berlin-Dahlem, Germany

Zuse Institute Berlin (ZIB)

Tiling morphologies and segmentation

Summary
A detailed quantitative analysis of image data often requires the segmentation to make structures measurable. This is particularly challenging for biological structures, such as tesserae, because their arrangements are typically 3-dimensional and complex (e.g. there can be hundreds of tiles on a single skeletal element, making manual segmentation infeasible). We are therefore developing new methods of automated segmentation of CT data that will require very little user interaction. Because the mineralized layer can be considered a 2-dimensional surface embedded in 3-dimensional space, we can create a simplified representation for better visualization and analysis, with tesserae represented as nodes in a wire mesh network. Derived parameters relating to tesseral size and shape can be mapped onto this representation, facilitating visual analysis, hypothesis testing and comparison with idealized tilings. Since tiling structures are frequent in biology, we believe that our methods can be applied to a variety of image data of natural systems.

For more information on the Zuse Institute’s involvement in the project please see: Website

Segmentation workflow (from left to right and top to bottom): Volume rendering of original data; surface of binary segmentation; volume rendering of distance field; initial segmentation using distance field; graph representation; final segmentation.<br /><br />
Segmentation workflow (from left to right and top to bottom): Volume rendering of original data; surface of binary segmentation; volume rendering of distance field; initial segmentation using distance field; graph representation; final segmentation.

[less]
 
loading content