Literature DB >> 23143016

Comparison of two methods for the estimation of subcortical volume and asymmetry using magnetic resonance imaging: a methodological study.

Tolga Ertekin1, Niyazi Acer, Semra Içer, Ahmet T Ilıca.   

Abstract

PURPOSE: The subcortical brain structures are associated with other structures of nervous system; therefore, they have major influence on sensory-motor, limbic and cognitive information processing. Magnetic resonance imaging provides a detailed knowledge of normal and diseased anatomical structures for medical research. The aim of the current study was to compare the volumes of subcortical brain structures and determine the probable volumetric asymmetry in healthy subjects using stereological (point-counting) and semi-automatic segmentation methods.
METHODS: MR scans were obtained from 30 subjects (17 males, 13 females) free of any psychiatric, neurological or cognitive impairment. MR images were analyzed by using stereological (point-counting) and semi-automatic segmentation methods.
RESULTS: We did not find any significant differences among the subjects with respect to gender using both methods. This study showed no significant asymmetry in subcortical structures according to methods. Also, no significant difference was found between point-counting and semi-automated segmentation methods for the volumes of subcortical structures (p > 0.05).
CONCLUSION: From these results, it can be concluded that the semi-automated segmentation method and stereological technique can be used for reliable volume estimation of subcortical structures. However, the stereological method takes less time than semi-automated segmentation; it is simple, reliable and inexpensive. Further studies are required with larger samples in order to support these data.

Entities:  

Mesh:

Year:  2012        PMID: 23143016     DOI: 10.1007/s00276-012-1036-6

Source DB:  PubMed          Journal:  Surg Radiol Anat        ISSN: 0930-1038            Impact factor:   1.246


  54 in total

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2.  Estimation of the brain stem volume by stereological method on magnetic resonance imaging.

Authors:  Hulya Erbagci; Munevver Keser; Selim Kervancioglu; Nese Kizilkan
Journal:  Surg Radiol Anat       Date:  2012-04-19       Impact factor: 1.246

3.  Volume and iron content in basal ganglia and thalamus.

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Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

4.  Volumetric evaluation of the relations among the cerebrum, cerebellum and brain stem in young subjects: a combination of stereology and magnetic resonance imaging.

Authors:  Nihat Ekinci; Niyazi Acer; Akcan Akkaya; Seref Sankur; Taner Kabadayi; Bünyamin Sahin
Journal:  Surg Radiol Anat       Date:  2008-05-14       Impact factor: 1.246

5.  In vivo stereological assessment of human cerebellar volume: effects of gender and age.

Authors:  P R Escalona; W M McDonald; P M Doraiswamy; O B Boyko; M M Husain; G S Figiel; D Laskowitz; E H Ellinwood; K R Krishnan
Journal:  AJNR Am J Neuroradiol       Date:  1991 Sep-Oct       Impact factor: 3.825

6.  Anatomical MRI study of basal ganglia in bipolar disorder patients.

Authors:  P Brambilla; K Harenski; M A Nicoletti; A G Mallinger; E Frank; D J Kupfer; M S Keshavan; J C Soares
Journal:  Psychiatry Res       Date:  2001-04-10       Impact factor: 3.222

7.  Semi-automated brain tumor and edema segmentation using MRI.

Authors:  Kai Xie; Jie Yang; Z G Zhang; Y M Zhu
Journal:  Eur J Radiol       Date:  2005-10       Impact factor: 3.528

8.  Automated medical image segmentation techniques.

Authors:  Neeraj Sharma; Lalit M Aggarwal
Journal:  J Med Phys       Date:  2010-01

9.  Putaminal volume in frontotemporal lobar degeneration and Alzheimer disease: differential volumes in dementia subtypes and controls.

Authors:  J C L Looi; L Svensson; O Lindberg; B B Zandbelt; P Ostberg; E Orndahl; L-O Wahlund
Journal:  AJNR Am J Neuroradiol       Date:  2009-06-04       Impact factor: 3.825

Review 10.  Emergent processes in cognitive-emotional interactions.

Authors:  Luiz Pessoa
Journal:  Dialogues Clin Neurosci       Date:  2010       Impact factor: 5.986

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