Automatic segmentation of different tissue types in 2D or 3D MR data sets plays a key role for pre-selection of potentially pathological structures, monitoring of diseases during treatment, and quantitative assessment of MRI related biomarkers in general. Reliable segmentation algorithms provide fast volumetric analysis of whole organs or their sub-structures, and it paves the way to automatic tissue specific analysis in MR parameter maps. This field of research has been prospering in the past years and it is expected to get even more important with the on-going development of techniques for fast recording of large MR data sets with various contrast weightings.
This Special Issue of MAGMA will be co-edited by Fritz Schick (Tuebingen). Experts in MR imaging and in segmentation procedures applicable to medical images, and also clinicians and pre-/clinical researchers with experience in applications of tissue segmentation based on MRI are invited to submit their contributions to this Special Issue on “Tissue segmentation”.
1. Principles and methods for automatic and semi-automatic tissue segmentation in MRI data sets
2. Segmentation of brain and spinal cord
3. Segmentation joints and musculoskeletal tissues
4. Volumetry and composition of internal organs
5. Segmentation of adipose tissues
Instructions for authors:
Papers should be submitted not later than June 15, 2015 through the normal submission procedures of MAGMA on the web (http://www.editorialmanager.com/mrmp). Authors should indicate in their cover letter that the paper is submitted "For inclusion in the Special Issue on ´Tissue segmentation´”.
Special Issues are widely read and heavily referenced so this is your chance to get your latest and best results published in a timely manner. Also, MAGMA has a policy of not applying charges for color illustrations.
We are looking forward to receiving your manuscripts at your earliest convenience.
Patrick J. Cozzone Fritz Schick (Tuebingen, Germany)
MAGMA Editor-in-Chief Guest-Editor of the Special Issue