نتایج جستجو برای: parcellation

تعداد نتایج: 917  

2016
Giovana Cover Mariana Leite Leticia Rittner

The corpus callosum is the most important white matter brain structure that connects both cerebral hemispheres, and represents an important structure studying for neurodegenerative diseases. Thus the corpus callosum characterization and parcellation are desirable tasks, but due to the lack of visible landmarks, shape and intensity variation among subjects, it represents a complex task. This pap...

2017
Daniel Moyer Boris Gutman Neda Jahanshad Paul M. Thompson

One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i.e. parcellation. While it is generally agreed that at macro-scale different regions of the cortex have different functions, the exact number and configuration of these regions is not known. Methods for the discovery of these regions are thus important, particularly ...

2009
E. Solano-Castiella G. Lohmann A. Schäfer R. Trampel

Introduction: The amygdala has a typical volume of 1500 mm. Its location next to the sphenoidal sinus results in a variety of MR image artifacts, which increase with field strength. However, brain scanning at 7T provides considerable improvement of SNR and CNR, and thus it has the potential for in vivo parcellation of amygdala images into neurologically significant subdivisions that may improve...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2002
Kilian M. Pohl William M. Wells Alexandre Guimond Kiyoto Kasai Martha Elizabeth Shenton Ron Kikinis W. Eric L. Grimson Simon K. Warfield

The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field Approximation Segmenter, to include Local Prior Probability Maps. Thereby our algorithm estimates the bias field in the image while simultaneously assigning voxels to different tissue classes under prior probability maps. The p...

Journal: :NeuroImage 2014
Benoit Da Mota Virgile Fritsch Gaël Varoquaux Tobias Banaschewski Gareth J. Barker Arun L. W. Bokde Uli Bromberg Patricia J. Conrod Jürgen Gallinat Hugh Garavan Jean-Luc Martinot Frauke Nees Tomás Paus Zdenka Pausova Marcella Rietschel Michael N. Smolka Andreas Ströhle Vincent Frouin Jean-Baptiste Poline Bertrand Thirion

Neuroimaging group analyses are used to relate inter-subject signal differences observed in brain imaging with behavioral or genetic variables and to assess risks factors of brain diseases. The lack of stability and of sensitivity of current voxel-based analysis schemes may however lead to non-reproducible results. We introduce a new approach to overcome the limitations of standard methods, in ...

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