University of Heidelberg
Faculty of Medicine Mannheim
University Hospital Mannheim
News
These pages are still under constructions and will be available soon! Please check again later!
Note


If you have questions concerning a specific publication please use this form with subject 'information about publications' and giving the full citation in the message body.

Links
Home > Publications > Abstract >

Ultra-fast automated brain volumetry based on bispectral MR imaging data

M. Friedlinger, J. Schröder and L. Schad

Comput Med Imaging Graph, 23 (6), pp.331-337

In this paper we present a fast automated three-dimensional brain segmentation and brain volumetry method providing minimal requirements of the number of spectral MR image channels and the performance of the computer equipment employed. The presented method is based on standard non-iterative two-dimensional grey level segmentation techniques in combination with pixel vector-oriented classificators and morphological operators and requires a bispectral high resolution MR data base. In its current design, the method provides for the largely partial volume-corrected determination of the cerebrospinal fluid (CSF) and the white and grey brain matter volumes of the human brain. For the verification of our approach, the results of applications to clinical data were compared to those of studies found in the literature.

Contact: Dr. Frank Zöllner last modified: 18.11.2019
to top of page