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

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.

Collaborate Research Projects
Home > Publications > Abstract >

Bidimensional Ensemble Empirical Mode Decomposition of Functional Biomedical Images

A. Neubauer, A. Tomé, A. Kodewitz, J. Górriz, G. Puntonet and E. Lang

Adv Adapt Data Ana, 6 (1), p.1450004

Positron emission tomography (PET) provides a functional imaging modality to detect signs of dementias in human brains. Two-dimensional empirical mode decomposition (2D EMD) provides means to analyze such images. It extracts characteristic textures from these images which may be fed into powerful classifiers trained to group these textures into several classes depending on the problem at hand. The study investigates the potential use of 2D EEMD in combination with proper classifiers to form a computer aided diagnosis (CAD) system to assist clinicians in identifying various diseases from functional images alone. PET images of subjects suffering from a dementia are taken to illustrate this ability.

Contact: Dr. Frank Zöllner last modified: 27.10.2020
to top of page