@inproceedings{159d4aeb3e3b4cbab5142d395d45009f,
title = "Identifying rodent olfactory bulb structures with micro-DTI",
abstract = "Olfactory bulb (OB) is one of the most developed systems in rodent models with complex neuronal organization and anatomical structures. MR diffusion tensor imaging (DTI) is a non-invasive technique to probe tissue microstructures by examining the diffusion characteristics of water molecules. This paper presents how different OB layers can be identified and quantitatively characterized by micro-DTI using a specially constructed micro-imaging radio frequency (RF) coil. High spatial resolution and high signal to noise ratio (SNR) DTI images of ex vivo rat OBs were obtained. Distinct contrasts were observed between various olfactory bulb layers in trace map, fractional anisotropy (FA) map and FA color map, all in consistence with the known OB neuroanatomy. These experimental results demonstrate the utility of micro-DTI in investigation of complex OB organization.",
author = "Zhao, {X. G.} and Hui, {E. S.} and Chan, {K. C.} and Cai, {K. X.} and H. Guo and Lai, {P. T.} and Wu, {E. X.}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",
year = "2008",
month = oct,
doi = "10.1109/iembs.2008.4649589",
language = "English",
isbn = "9781424418152",
series = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",
publisher = "IEEE Computer Society",
pages = "2028--2031",
booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",
address = "United States",
}