Working Group 3: Texture Formation

Editors: Prof. Dr. L. Schad, Heidelberg, Germany (Coordinator)

Dr. M. Bock, Heidelberg, Germany

Dr. M. Hajek, Prague, Czech Republic

Dr. R. Lerski, Dundee, United Kingdom

Dr. A. Lundervold, Bergen, Norway

Dr. L. Pousek, Prague, Czech Republic

P. Novak, Prague, Czech Republic

M. Strzelecki, Lodz, Poland

Dr. Dr. I. Zuna, Heidelberg, Germany


Since its introduction into medical imaging in the mid eighties, magnetic resonance imaging (MRI) has become a powerful in-vivo diagnostic tool. The objective of this Working Group is to progress developments in quantitative MRI, in particular texture analysis, to maximize the diagnostic information. A fundamental part of the work will be a careful study of the optimal MR data collection strategies for the texture analysis task. This is critical, since different centers may vary their measuring sequences and acquisition protocols for the clinical task and be reluctant to vary these for the texture investigation. Different measuring techniques, such as spin echo, gradient echo, echo planar etc., and different measuring parameters produce a totally different pattern in the texture parameters. A careful investigation of the dependency of all these variables studied in texture phantoms is the basic of the understanding on how MR image texture is formed in tissue structures.


To design and test reliable and accurate test objects that allow the detailed assessment of texture analysis methods in MRI. The issue of these test objects is their ability to simulate tissue-like textures with tissue-like NMR relaxation properties. Long term stability is also vital, as is uniformity of the overall texture. Another aspect is to test the developed texture test objects under a range of different MRI measuring sequences and imaging conditions on different scanners throughout the consortium to determine their stability and utility.

Work Program and Results

Texture Test Objects:

MRI Pulse Sequences: Multicenter Trial Phantoms/Volunteers/Patients: Texture Modeling: Publications

Please insert relevant abstracts/papers with respect to CostB11