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)
>>
>