Average wild-type C57BL/6J mouse 3D MRI non-symmetric brain image

Janke, Andrew (2015): Average wild-type C57BL/6J mouse 3D MRI non-symmetric brain image. Australian Mouse Brain Mapping Consortium. Dataset.

Project name AMBMC - Australian Mouse Brain Mapping Consortium
Project description
This is a collection of normative c57bl/6j mouse brain images intended to be used as a canonical registration and segmentation target.

The data can be downloaded at www.imaging.org.au/AMBMC

Contact name Andrew Janke
Contact email andrew.janke@cai.uq.edu.au
Creator name Janke, Andrew
Creator(s) role Informatics fellow
Dataset name Average wild-type C57BL/6J mouse 3D MRI non-symmetric brain image
Dataset description
15um non-symmetric average mouse model in Waxholm space from 16.4T 30um images. Digital MRI atlases serve to integrate data from differing modalities, stereotaxic localisation, automatic region identification, automated segmentation and direct comparisons between individuals. While paper atlases can provide exquisite detail of delineated structures, they are typically based upon an individual subjects histology and as such make it difficult to identify structures in novel subjects in an automated fashion. Improvements in field and gradient strength has led to enhanced resolution and the number of segmented regions in MRI atlases. Arguably, the best current atlas is that of Dorr et al in 20083, acquired at 7T with a final resolution of 32um and 62 segmented structures. The data in this MRI atlas was acquired at 16.4T and created using a specific adaptation of a nonlinear averaging technique that resulted in a final resolution of 15um and is thus approaching histological clarity.
Access conditions Open Access
Licencing and terms of access Creative Commons Attribution noncommercial

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ANZSRC Field of Research (FoR) Code 010402 Biostatistics
090399 Biomedical Engineering not elsewhere classified
060102 Bioinformatics
Type of data Images
Language eng
Keyword Biological science
Medical and health sciences
Central nervous system
Animal neurobiology
Collection type Dataset
Publisher Australian Mouse Brain Mapping Consortium
Publication Year 2015
Copyright notice 2012, The University of Queensland

Document type: Data Collection
Collections: Research Data Collections
Centre for Advanced Imaging Publications
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 22 Nov 2013, 12:26:23 EST by Jane Smeathers