• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   RTEÜ
  • Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
  • Scopus İndeksli Yayınlar Koleksiyonu
  • View Item
  •   RTEÜ
  • Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
  • Scopus İndeksli Yayınlar Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Estimation of cerebral surface area using vertical sectioning and magnetic resonance imaging: A stereological study

Thumbnail

View/Open

Full Text / Tam Metin (790.4Kb)

Access

info:eu-repo/semantics/closedAccess

Date

2010

Author

Acer, Niyazi
Çankaya, Mehmet Niyazi
İşçi, Öznur
Baş, Orhan
Çamurdanoğlu, Mehmet
Turgut, Mehmet

Metadata

Show full item record

Citation

Acer, N., Cankaya, M. N., Işçi, O., Baş, O., Camurdanoğlu, M., & Turgut, M. (2010). Estimation of cerebral surface area using vertical sectioning and magnetic resonance imaging: a stereological study. Brain research, 1310, 29–36. https://doi.org/10.1016/j.brainres.2009.11.017

Abstract

Stereological techniques using isotropic uniform random and vertical uniform random sections have been used for surface area estimation. However, there are a few studies in which the surface area of the brain is estimated using the vertical section technique in a stereological approach. The objective of the current study was to apply the vertical section technique using cycloid test probes for estimation of cerebral surface area in magnetic resonance imaging (MRI). In this study, cerebral surface areas were estimated in a total of 13 young subjects (6 males, 7 females) who were free of any neurological symptoms and signs. The means (±S.D. ) of the surface areas were 1619.92 ± 140. 97 cm 2, 1625.69 ± 147. 58 cm 2 and 1674.69 ± 160. 60 cm 2 for 36, 18 and 12 vertical sections, respectively. The mean coefficient of error obtained by applying cycloid test lines that use a 2. 8-cm ratio of area associated with each cycloid was estimated at < 7% for the three models. No significant difference was found for each of the 36, 18 and 12 vertical sections (p > 0.05). In addition, the three models correlated well with each other. From these results, it is concluded that the vertical section technique is an unbiased, efficient and reliable method and is ideally suited to in vivo examination of MRI data for estimating the surface area of the brain. Hence, we suggest that estimation of surface area using MRI and stereology may be clinically relevant for assessing cortical atrophy as well as for investigating the structure and function of cerebral hemispheres. © 2009 Elsevier B.V. All rights reserved.

Source

Brain Research

Volume

1310

URI

https://doi.org/10.1016/j.brainres.2009.11.017
https://hdl.handle.net/11436/3793

Collections

  • PubMed İndeksli Yayınlar Koleksiyonu [2443]
  • Scopus İndeksli Yayınlar Koleksiyonu [6023]
  • TF, Temel Tıp Bilimleri Bölümü Koleksiyonu [700]



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Instruction | Guide | Contact |

DSpace@RTEÜ

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution AuthorThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution Author

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Guide|| Instruction || Library || Recep Tayyip Erdoğan University || OAI-PMH ||

Recep Tayyip Erdoğan University, Rize, Turkey
If you find any errors in content, please contact:

Creative Commons License
Recep Tayyip Erdoğan University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@RTEÜ:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.