Multimodal 3D Mouse Brain Atlas Framework with the Skull-Derived Coordinate System.

Autor: Perens J; Gubra ApS, Hørsholm, Denmark.; Section for Visual Computing, Department of Applied Mathematics and Computer Science, Technical University Denmark, Kongens Lyngby, Denmark.; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark., Salinas CG; Gubra ApS, Hørsholm, Denmark., Roostalu U; Gubra ApS, Hørsholm, Denmark., Skytte JL; Gubra ApS, Hørsholm, Denmark., Gundlach C; Neutrons and X-rays for Materials Physics, Department of Physics, Technical University Denmark, Kongens Lyngby, Denmark., Hecksher-Sørensen J; Gubra ApS, Hørsholm, Denmark. jhs@gubra.dk., Dahl AB; Section for Visual Computing, Department of Applied Mathematics and Computer Science, Technical University Denmark, Kongens Lyngby, Denmark., Dyrby TB; Section for Visual Computing, Department of Applied Mathematics and Computer Science, Technical University Denmark, Kongens Lyngby, Denmark.; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: Neuroinformatics [Neuroinformatics] 2023 Apr; Vol. 21 (2), pp. 269-286. Date of Electronic Publication: 2023 Feb 21.
DOI: 10.1007/s12021-023-09623-9
Abstrakt: Magnetic resonance imaging (MRI) and light-sheet fluorescence microscopy (LSFM) are technologies that enable non-disruptive 3-dimensional imaging of whole mouse brains. A combination of complementary information from both modalities is desirable for studying neuroscience in general, disease progression and drug efficacy. Although both technologies rely on atlas mapping for quantitative analyses, the translation of LSFM recorded data to MRI templates has been complicated by the morphological changes inflicted by tissue clearing and the enormous size of the raw data sets. Consequently, there is an unmet need for tools that will facilitate fast and accurate translation of LSFM recorded brains to in vivo, non-distorted templates. In this study, we have developed a bidirectional multimodal atlas framework that includes brain templates based on both imaging modalities, region delineations from the Allen's Common Coordinate Framework, and a skull-derived stereotaxic coordinate system. The framework also provides algorithms for bidirectional transformation of results obtained using either MR or LSFM (iDISCO cleared) mouse brain imaging while the coordinate system enables users to easily assign in vivo coordinates across the different brain templates.
(© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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