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dc.contributor.authorGyengesi, E.
dc.contributor.authorCalabrese, E.
dc.contributor.authorSherrier, M.
dc.contributor.authorJohnson, G.
dc.contributor.authorPaxinos, G.
dc.contributor.authorWatson, Charles
dc.date.accessioned2017-01-30T12:32:08Z
dc.date.available2017-01-30T12:32:08Z
dc.date.created2014-04-15T20:01:01Z
dc.date.issued2013
dc.identifier.citationGyengesi, Erika and Calabrese, Evan and Sherrier, Matthew C. and Johnson, G. Allan and Paxinos, George and Watson, Charles. 2013. Semi-automated 3D segmentation of major tracts in the rat brain: comparing DTI with standard histological methods. Brain Structure and Function. 219 (2): pp. 539-550.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22542
dc.identifier.doi10.1007/s00429-013-0516-8
dc.description.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.

dc.publisherSpringer
dc.subjectDTI
dc.subjectGallyas silver myelin staining
dc.subjectAutomated segmentation
dc.subjectMRI
dc.titleSemi-automated 3D segmentation of major tracts in the rat brain: comparing DTI with standard histological methods
dc.typeJournal Article
dcterms.source.volume219
dcterms.source.startPage539
dcterms.source.endPage550
dcterms.source.issn1863-2653
dcterms.source.titleBrain Structure and Function
curtin.department
curtin.accessStatusFulltext not available


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