Image Processing

Homepage Consortium Reports/Events
 


The reliability of the complete FE analysis package depends on the precise delineation of objects of interest and their associated properties derived from multimodal imaging data. The goal is to create a comprehensive image processing toolbox to provide optimal and automatic segmentation (some basics about image segmentation can be found here) and registration (an introduction into registration techniques by Prof. Vandermeulen can be found here) protocols to the clinical end-user.

The imaging data first has to be segmented into the different anatomically defined tissues, i.e. materials have to be detected and defined in the raw dataset. Segmentation schemes available within SimBio will range from thresholding techniques to atlas-based segmentation approaches. The provided algorithms will allow to process image data of different modalities such as magnetic resonance imaging (MRI) and computer tomography (CT). Image datasets acquired with different imaging techniques or at different times will be geometrically co-registered first using a voxel-similarity based rigid registration algorithm . The implemented algorithms will also be tested and compared with regard to stability, output quality and performance.