Print Email Facebook Twitter Articulated Whole-Body Atlases for Small Animal Image Analysis: Construction and Applications Title Articulated Whole-Body Atlases for Small Animal Image Analysis: Construction and Applications Author Khmelinskii, A. Baiker, M. Kaijzel, E.L. Chen, J. Reiber, J.H.C. Lelieveldt, B.P.F. Faculty Electrical Engineering, Mathematics and Computer Science Department Intelligent Systems Date 2010-09-08 Abstract Purpose Using three publicly available small-animal atlases (Sprague–Dawley rat, MOBY, and Digimouse), we built three articulated atlases and present several applications in the scope of molecular imaging. Procedures Major bones/bone groups were manually segmented for each atlas skeleton. Then, a kinematic model for each atlas was built: each joint position was identified and the corresponding degrees of freedom were specified. Results The articulated atlases enable automated registration into a common coordinate frame of multimodal small-animal imaging data. This eliminates the postural variability (e.g., of the head, back, and front limbs) that occurs in different time steps and due to modality differences and nonstandardized acquisition protocols. Conclusions The articulated atlas proves to be a useful tool for multimodality image combination, follow-up studies, and image processing in the scope of molecular imaging. The proposed models were made publicly available. Subject small animal imagingC57BL/6C3H mouseSD ratarticulated atlasimage processingregistrationmicroCTBLImicroMRI To reference this document use: http://resolver.tudelft.nl/uuid:af983e8d-aa01-4fa9-9b70-a28a88bc227f DOI https://doi.org/10.1007/s11307-010-0386-x Publisher Springer ISSN 1536-1632 Source http://www.springerlink.com/content/l021p77172131000/ Source Molecular Imaging and Biology, 13 (5), 2011 Part of collection Institutional Repository Document type journal article Rights (c) 2010 The Author(s) Files PDF khmelinskii.pdf 1.03 MB Close viewer /islandora/object/uuid:af983e8d-aa01-4fa9-9b70-a28a88bc227f/datastream/OBJ/view