Segmentation of the mouse hippocampal formation in magnetic resonance images

被引:71
作者
Richards, Kay [1 ,2 ]
Watson, Charles [1 ,5 ,8 ]
Buckley, Rachel F. [1 ,3 ]
Kurniawan, Nyoman D. [1 ,4 ]
Yang, Zhengyi [1 ,4 ]
Keller, Marianne D. [1 ,4 ]
Beare, Richard [1 ,3 ]
Bartlett, Perry F. [1 ,6 ]
Egan, Gary F. [1 ,2 ,7 ]
Galloway, Graham J. [1 ,4 ]
Paxinos, George [1 ,8 ]
Petrou, Steven [1 ,2 ,7 ]
Reutens, David C. [1 ,4 ]
机构
[1] Univ Queensland, Australian Mouse Brain Mapping Consortium, Brisbane, Qld, Australia
[2] Florey Neurosci Inst, Parkville, Vic, Australia
[3] Monash Univ, Fac Med Nursing & Hlth Sci, Clayton, Vic, Australia
[4] Univ Queensland, Ctr Adv Imaging, Brisbane, Qld 4072, Australia
[5] Curtin Univ, Bentley, WA, Australia
[6] Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia
[7] Univ Melbourne, Ctr Neurosci, Parkville, Vic 3052, Australia
[8] Univ New S Wales, Randwick, NSW, Australia
基金
英国医学研究理事会;
关键词
Hippocampus; Hippocampal formation; CA fields; Perirhinal; Entorhinal; Subiculum; Magnetic resonance; Segmentation; Mouse brain; Atlas; HIGH-RESOLUTION MRI; ENTORHINAL CORTEX; GENE-EXPRESSION; BRAIN; ATLAS; MODELS; IDENTIFICATION; MECHANISMS; MICROSCOPY; SUBFIELDS;
D O I
10.1016/j.neuroimage.2011.06.025
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The hippocampal formation plays an important role in cognition, spatial navigation, learning, and memory. High resolution magnetic resonance (MR) imaging makes it possible to study in vivo changes in the hippocampus over time and is useful for comparing hippocampal volume and structure in wild type and mutant mice. Such comparisons demand a reliable way to segment the hippocampal formation. We have developed a method for the systematic segmentation of the hippocampal formation using the perfusion-fixed C57BL/6 mouse brain for application in longitudinal and comparative studies. Our aim was to develop a guide for segmenting over 40 structures in an adult mouse brain using 30 pm isotropic resolution images acquired with a 16.4T MR imaging system and combined using super-resolution reconstruction. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:732 / 740
页数:9
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