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High-definition neural visualization of rodent brain using micro-CT scanning and non-local-means processing

dc.contributor.authorChen, Ko-Chin
dc.contributor.authorArad, Alon
dc.contributor.authorSong, Zan-Min
dc.contributor.authorCroaker, Geoffrey
dc.date.accessioned2024-02-28T03:06:15Z
dc.date.available2024-02-28T03:06:15Z
dc.date.issued2018
dc.date.updated2022-10-09T07:18:25Z
dc.description.abstractBackground: Micro-CT holds promising potential for phenotyping and histological purposes. However, few have clarified the difference in the neuroimaging quality between ex vivo and in vivo micro-CT scanners. In addition, no direct comparison has been made between micro-CT scans and standard microscopy. Furthermore, while the efficacy of various stains for yielding soft-tissue contrast in CT scans have been compared in other studies for embryos, staining protocols for larger samples have yet to be clarified. Lastly, post-acquisition processing for image enhancements have not been addressed. Methods: Comparisons of postnatal rat brain micro-CT scans obtained through custom-built ex vivo and commercially available in vivo micro-CT scanners were made. Subsequently, the scanned rat brains were then H&E stained for microscopy. Neuroanatomy on micro-CT scanning and 4× microscopy of rat brain were compared. Diffusion and perfusion staining using iodine or PTA were trialled on adult and neonatal encapsulated rat brains. Different combinations of stain concentration and staining time were trialled. Post-acquisition denoising with NLM filter was completed using a modern General-Purpose Graphic Processing Unit (GPGPU) and custom code for prompt processing. Results: Ex vivo micro-CT scans of iodine-stained postnatal rat brains yields 3D images with details comparable to 4× H&E light micrographs. Neural features shown on ex vivo micro-CT scans were significantly more distinctive than those on in vivo micro-CT scans. Both ex vivo and in vivo micro-CT scans required diffusion staining through small craniotomy. Perfusion staining is ineffective. Iodine staining was more efficient than PTA in terms of time. Consistently, enhancement made by NLM denoising on in vivo micro-CT images were more pronounced than that on ex vivo micro-CT scans due to their difference in image signal-to-noise indexes. Conclusions: Micro-CT scanning is a powerful and versatile visualization tool available for qualitative and potential quantitative anatomical analysis. Simple diffusion staining via craniotomy with 1.5% iodine is an effective and minimal structural-invasive method for both in vivo and ex vivo micro-CT scanning for studying the microscopic morphology of neonatal and adult rat brains. Post-acquisition NLM filtering is an effective enhancement technique for in vivo micro-CT brain scans.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1471-2342en_AU
dc.identifier.urihttp://hdl.handle.net/1885/314402
dc.language.isoen_AUen_AU
dc.provenanceThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_AU
dc.publisherBioMed Centralen_AU
dc.rights© The Author(s). 2018 Open Accessen_AU
dc.rights.licenseCreative Commons Attribution 4.0 International Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceBMC Medical Imagingen_AU
dc.subjectMicro-CTen_AU
dc.subjectNeuroimagingen_AU
dc.subjectNLM image processingen_AU
dc.titleHigh-definition neural visualization of rodent brain using micro-CT scanning and non-local-means processingen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage13en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationChen, Ko-Chin, College of Health and Medicine, ANUen_AU
local.contributor.affiliationArad, Alon, Massachusetts Institute of Technologyen_AU
local.contributor.affiliationSong, Zan-Min, College of Health and Medicine, ANUen_AU
local.contributor.affiliationCroaker, Geoffrey (David), College of Health and Medicine, ANUen_AU
local.contributor.authoruidChen, Ko-Chin, u4486787en_AU
local.contributor.authoruidSong, Zan-Min, u4021705en_AU
local.contributor.authoruidCroaker, Geoffrey (David), u4689410en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor320222 - Radiology and organ imagingen_AU
local.identifier.ariespublicationu4485658xPUB1389en_AU
local.identifier.citationvolume18en_AU
local.identifier.doi10.1186/s12880-018-0280-6en_AU
local.identifier.scopusID2-s2.0-85055666863
local.identifier.thomsonIDWOS:000448802200002
local.publisher.urlhttps://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-018-0280-6en_AU
local.type.statusPublished Versionen_AU

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