Literature DB >> 24151233

Group specific vein-atlasing: an application for analyzing the venous system under normal and multiple sclerosis conditions.

Günther Grabner1, Assunta Dal-Bianco, Simon Hametner, Hans Lassmann, Siegfried Trattnig.   

Abstract

PURPOSE: To create a group-specific vein-atlas based on healthy control subjects to visualize the average venous system under normal conditions and to compare the venous volume portion in multiple sclerosis (MS) lesions with that atlas.
MATERIALS AND METHODS: Susceptibility-weighted imaging (SWI), as well as T1-weighted imaging, was performed at 7 Tesla on nine healthy controls and nine age-matched MS patients. Automatic vein segmentation was performed on SWI data. The vessel segmentation results of the healthy controls were nonlinearly transformed into a model space, and subsequently averaged to create the vein-atlas. Thirteen normal-appearing white matter (NAWM) regions and 18 MS lesions were manually segmented in the patient data, and were used to calculate the venous volume portion in individual patient data and in corresponding regions within the vein-atlas.
RESULTS: The vein-atlas illustrates the average venous network of the control group. The venous volume portion in MS lesions was significantly higher (P < 0.05) compared with the corresponding regions in the vein-atlas. NAWM regions did not differ significantly (P > 0.05) from corresponding atlas regions.
CONCLUSION: The developed vein-atlas shows the average venous system of a specific population and allows, therefore, the evaluation of the venous system of individual subjects.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  7 Tesla; blood vessel; multiple sclerosis; susceptibility-weighted imaging; vein-atlas

Mesh:

Year:  2013        PMID: 24151233     DOI: 10.1002/jmri.24393

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  A study-specific fMRI normalization approach that operates directly on high resolution functional EPI data at 7 Tesla.

Authors:  Günther Grabner; Benedikt A Poser; Kyoko Fujimoto; Jonathan R Polimeni; Lawrence L Wald; Siegfried Trattnig; Ivan Toni; Markus Barth
Journal:  Neuroimage       Date:  2014-06-25       Impact factor: 6.556

2.  The topograpy of demyelination and neurodegeneration in the multiple sclerosis brain.

Authors:  Lukas Haider; Tobias Zrzavy; Simon Hametner; Romana Höftberger; Francesca Bagnato; Günther Grabner; Siegfried Trattnig; Sabine Pfeifenbring; Wolfgang Brück; Hans Lassmann
Journal:  Brain       Date:  2016-02-08       Impact factor: 13.501

3.  Post Mortem Validation of MRI-Identified Veins on the Surface of the Cerebral Cortex as Potential Landmarks for Neurosurgery.

Authors:  Günther Grabner; Thomas Haider; Mark Glassner; Alexander Rauscher; Hannes Traxler; Siegfried Trattnig; Simon D Robinson
Journal:  Front Neurosci       Date:  2017-06-21       Impact factor: 4.677

  3 in total

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