Comparison of Two Methods for the Estimation of Subcortical Volume and Asymmetry Using Magnetic Resonance Imaging: a Methodological Study

Overview

Journal Surg Radiol Anat

Specialties Anatomy & Histology
General Surgery
Radiology

Date 2012 Nov 13

PMID 23143016

Citations 1

Authors

Tolga Ertekin

Niyazi Acer

Semra Icer

Ahmet T Ilica

Affiliations

Soon will be listed here.

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.

Citing Articles

Digital Endocasting in Comparative Canine Brain Morphology.

Czeibert K, Sommese A, Petnehazy O, Csorgo T, Kubinyi E Front Vet Sci. 2020; 7:565315.

PMID: 33134351 PMC: 7572857. DOI: 10.3389/fvets.2020.565315.

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