J Korean Soc Magn Reson Med.  2012 Dec;16(3):243-252. 10.13104/jksmrm.2012.16.3.243.

Reproducibility Analysis of Brain Volumetry Measured from Inter MR Scanner of Multi-Institute

Affiliations
  • 1Department of Biomedical Engineering, and U-Health care Research Center, Inje University, Korea. mcw@inje.ac.kr
  • 2Department of Diagnostic Radiology, Haeundae Paik Hospital, Korea.
  • 3Department of Psychiatry, Medical School, Pusan National University, Pusan National University Hospital, Korea.
  • 4Department of Psychiatry, Medical School, Inje University, Haeundae Paik Hospital, Korea.
  • 5Department of Diagnostic Radiology, Medical School, Inje University, Haeundae Paik Hospital, Korea.

Abstract

PURPOSE
The aim of this study was to evaluate the variations of brain volumetry between the different MR scanners or the different institutes.
MATERIALS AND METHODS
Ten normal subjects were scanned at four different MR scanners, two of them were the same models, to measure inter-MR scanner variations using intraclass correlation coefficient (ICC), coefficient of variation (CV) and percent volume difference (PVD) and to calculate minimal thresholds to detect the significant volumetric changes in gray matter and subcortical regions.
RESULTS
Averaged statistical reliability (ICC = 0.837) and volumetric variation (CV = 4.310%) in all segmented regions were observed on overall MR scanners. Comparing the segmented volumes with PVD between two MR scanners, volumetric differences on same models were the lowest (PVD = 3.611%) and volume thresholds were calculated with 7.168%. PVD results and thresholds values on systemically different MR scanners were evaluated with 5.785% and 11.340% respectively.
CONCLUSION
Authors conclude that the reliability of brain volumetry is not so high. Calibration studies of MRI system and image processing are essential to reduce the volumetric variability. Additionally, frameworks comprised of database and algorithms with high-speed image processing are also required for the efficient image data management.

Keyword

Multi-center study; Inter MR scanner variation; Brain volumetry; Magnetic resonance image; Automatic segmentation

MeSH Terms

Brain
Calibration

Figure

  • Fig. 1 Examples of brain segmentation for region of interest: (a) gray matter (b) caudate nucleus (red), putamen (pink) and thalamus (green) (c) hippocampus (yellow) and amygdala (sky blue) (d) lateral ventricle (violet).

  • Fig. 2 Percent volume differences between two MR derived volumetric results for brain structures segmented with automatic processing


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