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      In Vivo 3D Digital Atlas Database of the Adult C57BL/6J Mouse Brain by Magnetic Resonance Microscopy

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          Abstract

          In this study, a 3D digital atlas of the live mouse brain based on magnetic resonance microscopy (MRM) is presented. C57BL/6J adult mouse brains were imaged in vivo on a 9.4 Tesla MR instrument at an isotropic spatial resolution of 100 μm. With sufficient signal-to-noise (SNR) and contrast-to-noise ratio (CNR), 20 brain regions were identified. Several atlases were constructed including 12 individual brain atlases, an average atlas, a probabilistic atlas and average geometrical deformation maps. We also investigated the feasibility of using lower spatial resolution images to improve time efficiency for future morphological phenotyping. All of the new in vivo data were compared to previous published in vitro C57BL/6J mouse brain atlases and the morphological differences were characterized. Our analyses revealed significant volumetric as well as unexpected geometrical differences between the in vivo and in vitro brain groups which in some instances were predictable (e.g. collapsed and smaller ventricles in vitro) but not in other instances. Based on these findings we conclude that although in vitro datasets, compared to in vivo images, offer higher spatial resolutions, superior SNR and CNR, leading to improved image segmentation, in vivo atlases are likely to be an overall better geometric match for in vivo studies, which are necessary for longitudinal examinations of the same animals and for functional brain activation studies. Thus the new in vivo mouse brain atlas dataset presented here is a valuable complement to the current mouse brain atlas collection and will be accessible to the neuroscience community on our public domain mouse brain atlas website.

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          Unified segmentation

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            The problem of functional localization in the human brain.

            Functional imaging gives us increasingly detailed information about the location of brain activity. To use this information, we need a clear conception of the meaning of location data. Here, we review methods for reporting location in functional imaging and discuss the problems that arise from the great variability in brain anatomy between individuals. These problems cause uncertainty in localization, which limits the effective resolution of functional imaging, especially for brain areas involved in higher cognitive function.
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              Enhancement of MR images using registration for signal averaging.

              With the advent of noninvasive neuroimaging, a plethora of digital human neuroanatomical atlases has been developed. The accuracy of these atlases is constrained by the resolution and signal-gathering powers of available imaging equipment. In an attempt to circumvent these limitations and to produce a high resolution in vivo human neuroanatomy, we investigated the usefulness of intrasubject registration for post hoc MR signal averaging. Twenty-seven high resolution (7 x 0.78 and 20 x 1.0 mm3) T1-weighted volumes were acquired from a single subject, along with 12 double echo T2/proton density-weighted volumes. These volumes were automatically registered to a common stereotaxic space in which they were subsampled and intensity averaged. The resulting images were examined for anatomical quality and usefulness for other analytical techniques. The quality of the resulting image from the combination of as few as five T1 volumes was visibly enhanced. The signal-to-noise ratio was expected to increase as the root of the number of contributing scans to 5.2, n = 27. The improvement in the n = 27 average was great enough that fine anatomical details, such as thalamic subnuclei and the gray bridges between the caudate and putamen, became crisply defined. The gray/white matter boundaries were also enhanced, as was the visibility of any finer structure that was surrounded by tissue of varying T1 intensity. The T2 and proton density average images were also of higher quality than single scans, but the improvement was not as dramatic as that of the T1 volumes. Overall, the enhanced signal in the averaged images resulted in higher quality anatomical images, and the data lent themselves to several postprocessing techniques. The high quality of the enhanced images permits novel uses of the data and extends the possibilities for in vivo human neuroanatomy.
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                Author and article information

                Journal
                Front Neuroanat
                Front. Neuroanat.
                Frontiers in Neuroanatomy
                Frontiers Research Foundation
                1662-5129
                10 March 2008
                17 April 2008
                2008
                : 2
                : 1
                Affiliations
                [1] 1Department of Anesthesiology, Stony Brook University, Stony Brook NY, USA
                [2] 2Medical Department, Brookhaven National Laboratory, Upton NY, USA
                [3] 3Department of Neuroscience and Advanced Imaging Program, Mount Sinai School of Medicine, New York NY, USA
                [4] 4Department of Neuroscience, McKnight Brain Institute, University of Florida, Gainesville FL, USA
                [5] 5The National High Magnetic Field Laboratory, Tallahassee FL, USA
                Author notes

                Edited by: Andreas H. Burkhalter, Washington University School of Medicine, USA

                Reviewed by: Kadharbatcha S. Saleem, Washington University School of Medicine, USA; Andreas H. Burkhalter, Washington University School of Medicine, USA

                *Correspondence: Yu Ma, Department of Anesthesiology, Stony Brook University, Stony Brook, NY, USA. e-mail: mayu@ 123456bnl.gov
                Article
                10.3389/neuro.05.001.2008
                2525925
                18958199
                4fc4f342-2f6f-4757-a537-c622ca71eee3
                Copyright © 2008 Ma, Smith, Hof, Foerster, Hamilton, Blackband, Yu and Benveniste.

                This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

                History
                : 09 January 2008
                : 08 April 2008
                Page count
                Figures: 10, Tables: 1, Equations: 0, References: 57, Pages: 10, Words: 10247
                Categories
                Neuroscience
                Original Research

                Neurosciences
                mouse brain morphometry,magnetic resonance microscopy,image registration,in vivo mouse brain atlas

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