Semi-automated 3D segmentation of major tracts in the rat brain: Comparing DTI with standard histological methods

Gyengesi, Erika, Calabrese, Evan, Sherrier, Matthew C., Johnson, G. Allan, Paxinos, George and Watson, Charles (2014) Semi-automated 3D segmentation of major tracts in the rat brain: Comparing DTI with standard histological methods. Brain Structure and Function, 219 2: 539-550. doi:10.1007/s00429-013-0516-8


Author Gyengesi, Erika
Calabrese, Evan
Sherrier, Matthew C.
Johnson, G. Allan
Paxinos, George
Watson, Charles
Title Semi-automated 3D segmentation of major tracts in the rat brain: Comparing DTI with standard histological methods
Journal name Brain Structure and Function   Check publisher's open access policy
ISSN 1863-2661
1863-2661
Publication date 2014
Year available 2014
Sub-type Article (original research)
DOI 10.1007/s00429-013-0516-8
Open Access Status
Volume 219
Issue 2
Start page 539
End page 550
Total pages 12
Place of publication Heidelberg, Germany
Publisher Springer Verlag
Collection year 2015
Language eng
Abstract Researchers working with rodent models of neurological disease often require an accurate map of the anatomical organization of the white matter of the rodent brain. With the increasing popularity of small animal MRI techniques, including diffusion tensor imaging (DTI), there is considerable interest in rapid segmentation methods of neurological structures for quantitative comparisons. DTI-derived tractography allows simple and rapid segmentation of major white matter tracts, but the anatomic accuracy of these computer-generated fibers is open to question and has not been rigorously evaluated in the rat brain. In this study, we examine the anatomic accuracy of tractography-based segmentation in the adult rat brain. We analysed 12 major white matter pathways using semi-automated tractography-based segmentation alongside manual segmentation of Gallyas silver-stained histology sections. We applied four fiber-tracking algorithms to the DTI data-two integration methods and two deflection methods. In many cases, tractography-based segmentation closely matched histology-based segmentation; however different tractography algorithms produced dramatically different results. Results suggest that certain white matter pathways are more amenable to tractography-based segmentation than others. We believe that these data will help researchers decide whether it is appropriate to use tractography-based segmentation of white matter structures for quantitative DTI-based analysis of neurologic disease models.
Keyword Automated segmentation
DTI
Gallyas silver myelin staining
MRI
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Queensland Brain Institute Publications
 
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Created: Mon, 27 Oct 2014, 15:23:56 EST by Sylvie Pichelin on behalf of Queensland Brain Institute