The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Waxholm Space: An image-based reference for coordinating mouse brain research
Open accessAbstract
We describe an atlas of the C57BL/6 mouse brain based on MRI and conventional Nissl histology. Magnetic resonance microscopy was performed on a total of 14 specimens that were actively stained to enhance tissue contrast. Images were acquired with three different MR protocols yielding contrast dependent on spin lattice relaxation (T1), spin spin relaxation (T2), and magnetic susceptibility (T2*). Spatial resolution was 21.5 microns (isotropic). Conventional histology (Nissl) was performed on a limited set of these same specimens and the Nissl images were registered (3D-to-3D) to the MR data. Probabilistic atlases for 37 structures are provided, along with average atlases. The availability of three different MR protocols, the Nissl data, and the labels provides a rich set of options for registration of other atlases to the same coordinate system, thus facilitating data-sharing. All the data is available for download via the web.
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AVANTS, B., EPSTEIN, C., GROSSMAN, M., & GEE, J. (2008) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,669
A pyramid approach to subpixel registration based on intensity
Thevenaz, P., Ruttimann, U. E., & Unser, M. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.650848 · Cited by 3,078
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,817
Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation
Woods, R. P., Grafton, S. T., Holmes, C. J., Cherry, S. R., & Mazziotta, J. C. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199801000-00027 · Cited by 1,707
Three-Dimensional MRI Atlas of the Human Cerebellum in Proportional Stereotaxic Space
Schmahmann, J. D., Doyon, J., McDonald, D., Holmes, C., Lavoie, K., Hurwitz, A. S., Kabani, N., Toga, A., Evans, A., & Petrides, M. (1999) · NeuroImage · doi:10.1006/nimg.1999.0459 · Cited by 781
Dorr, A. E., Lerch, J. P., Spring, S., Kabani, N., & Henkelman, R. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.037 · Cited by 535
Ma, Y., Hof, P. R., Grant, S. C., Blackband, S. J., Bennett, R., Slatest, L., McGuigan, M. D., & Benveniste, H. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.07.014 · Cited by 437
A Four-Dimensional Probabilistic Atlas of the Human Brain
Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., et al. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080401 · Cited by 378
A Three-dimensional MRI Atlas of the Mouse Brain with Estimates of the Average and Variability
Kovačević, N., Henderson, J. T., Chan, E., Lifshitz, N., Bishop, J., Evans, A. C., Henkelman, R. M., & Chen, X. J. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh165 · Cited by 328
Schwarz, A. J., Danckaert, A., Reese, T., Gozzi, A., Paxinos, G., Watson, C., Merlo-Pich, E. V., & Bifone, A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.04.214 · Cited by 316
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Murakami, T. C., Mano, T., Saikawa, S., Horiguchi, S. A., Shigeta, D., Baba, K., Sekiya, H., Shimizu, Y., Tanaka, K. F., Kiyonari, H., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0109-1 · Cited by 292
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Self-citation
Metadata
- Authors
- Johnson, G. A., Badea, A., Brandenburg, J., Cofer, G., Fubara, B., Liu, S., & Nissanov, J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-11-01
- Volume
- 53
- Issue
- 2
- Pages
- 365-372
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2026527241
- Cited by
- 261
- References
- 24
- FWCI
- 14.37
- Type
- journal article
- Language
- en
- Open access
- green
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