Dear Ochoa, On Sat, 18 Feb 2012 14:57:07 -0500, John Fredy <[log in to unmask]> wrote: >Dear Christian, > >Which characteritics, resolution, number of slices, etc, must have the T1 >and FLAIR images? For T1-images the same prequisites apply as for the standard VBM: in-plane resolution 1mm, slice thickness <1.5mm (preferable 1mm), good contrast-to-noise ration. The additional FLAIR sequence is only used to detect the lesions. Thus, a lower spatial resolution might also work, but will diminish your accuracy. Again, in-plane resolution will have more impact... Regards, Christian ____________________________________________________________________________ Christian Gaser, Ph.D. Departments of Psychiatry and Neurology Friedrich-Schiller-University of Jena Jahnstrasse 3, D-07743 Jena, Germany Tel: ++49-3641-934752 Fax: ++49-3641-934755 e-mail: [log in to unmask] http://dbm.neuro.uni-jena.de > >Thanks > >John Ochoa >Universidad de Antioquia > >On Mon, Feb 13, 2012 at 6:10 PM, Christian Gaser < >[log in to unmask]> wrote: > >> Dear SPM users, >> >> we are happy to announce the first release of the Lesion Segmentation Tool >> (LST) for the segmentation of lesions in Multiple Sclerosis (MS) for SPM. >> It is able to detect T2 hyperintense lesions based on a T1 and a FLAIR >> image. Beside the segmentation a utility function for filling lesions in T1 >> images is implemented. Even though it is still under construction, we hope >> that the tool will be able to contribute to current MS research. The >> toolbox was developed, see Schmidt et al. (2012), by a coorperation of the >> following organizations: Morphometry Group, Department of Neurology, >> Technische Universit�t M�nchen (TUM), Munich, Department of Statistics, >> Ludwig-Maximilians-University, Munich, Germany, and Structural Brain >> Mapping Group, Departments of Neurology and Psychiatry, >> Friedrich-Schiller-University, Jena, Germany. The reason for its >> development was the need for an implemented open source tool for the >> segmentation of lesions MS. >> >> At this point in time, only a lesion growth algorithm is implemented, see >> Schmidt et al. (2012). We may include further lesion segmentation >> algorithms and other utility functions to this toolbox in the future. >> >> Plese note that for using the LST toolbox the installation of the VBM8 >> toolbox is necessary: >> >> http://dbm.neuro.uni-jena.de/vbm8 >> >> The paper can be downloaded at: >> http://dbm.neuro.uni-jena.de/pdf-files/Schmidt-NI11.pdf >> >> >> Regards, >> >> Christian Gaser (on behalf of the authors) >> >