NITRC News Group Forum: volume-estimation-of-the-thalamus-using-freesurfer-and-stereology--consistency-between-methods

NITRC News Group Forum: volume-estimation-of-the-thalamus-using-freesurfer-and-stereology--consistency-between-methods http://www.nitrc.org/forum/forum.php?forum_id=2917 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">Freely available automated MR image analysis techniques are being increasingly used to investigate neuroanatomical abnormalities in patients with neurological disorders. It is important to assess the specificity and validity of automated measurements of structure volumes with respect to reliable manual methods that rely on human anatomical expertise. The thalamus is widely investigated in many neurological and neuropsychiatric disorders using MRI, but thalamic volumes are notoriously difficult to quantify given the poor between-tissue contrast at the thalamic gray-white matter interface. In the present study we investigated the reliability of automatically determined thalamic volume measurements obtained using FreeSurfer software with respect to a manual stereological technique on 3D T1-weighted MR images obtained from a 3 T MR system. Further to demonstrating impressive consistency between stereological and FreeSurfer volume estimates of the thalamus in healthy subjects and neurological patients, we demonstrate that the extent of agreeability between stereology and FreeSurfer is equal to the agreeability between two human anatomists estimating thalamic volume using stereological methods. Using patients with juvenile myoclonic epilepsy as a model for thalamic atrophy, we also show that both automated and manual methods provide very similar ratios of thalamic volume loss in patients. This work promotes the use of FreeSurfer for reliable estimation of global volume in healthy and diseased thalami. </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 1-10</li><li>DOI 10.1007/s12021-012-9147-0</li><li>Authors<ul> <li>Simon S. Keller, Department of Neurology, University of Münster, Münster, Germany</li><li>Jan S. Gerdes, Department of Neurology, University of Münster, Münster, Germany</li><li>Siawoosh Mohammadi, Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, UK</li><li>Christoph Kellinghaus, Department of Neurology, Klinikum Osnabrück, Osnabrück, Germany</li><li>Harald Kugel, Department of Clinical Radiology, University of Münster, Münster, Germany</li><li>Katja Deppe, Department of Radiology, Klinikum Osnabrück, Osnabrück, Germany</li><li>E. Bernd Ringelstein, Department of Neurology, University of Münster, Münster, Germany</li><li>Stefan Evers, Department of Neurology, University of Münster, Münster, Germany</li><li>Wolfram Schwindt, Department of Clinical Radiology, University of Münster, Münster, Germany</li><li>Michael Deppe, Department of Neurology, University of Münster, Münster, Germany</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Sun, 19 Apr 2026 23:37:11 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator