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A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes.

Publication ,  Journal Article
Morey, RA; Petty, CM; Xu, Y; Hayes, JP; Wagner, HR; Lewis, DV; LaBar, KS; Styner, M; McCarthy, G
Published in: Neuroimage
April 15, 2009

Large databases of high-resolution structural MR images are being assembled to quantitatively examine the relationships between brain anatomy, disease progression, treatment regimens, and genetic influences upon brain structure. Quantifying brain structures in such large databases cannot be practically accomplished by expert neuroanatomists using hand-tracing. Rather, this research will depend upon automated methods that reliably and accurately segment and quantify dozens of brain regions. At present, there is little guidance available to help clinical research groups in choosing such tools. Thus, our goal was to compare the performance of two popular and fully automated tools, FSL/FIRST and FreeSurfer, to expert hand tracing in the measurement of the hippocampus and amygdala. Volumes derived from each automated measurement were compared to hand tracing for percent volume overlap, percent volume difference, across-sample correlation, and 3-D group-level shape analysis. In addition, sample size estimates for conducting between-group studies were computed for a range of effect sizes. Compared to hand tracing, hippocampal measurements with FreeSurfer exhibited greater volume overlap, smaller volume difference, and higher correlation than FIRST, and sample size estimates with FreeSurfer were closer to hand tracing. Amygdala measurement with FreeSurfer was also more highly correlated to hand tracing than FIRST, but exhibited a greater volume difference than FIRST. Both techniques had comparable volume overlap and similar sample size estimates. Compared to hand tracing, a 3-D shape analysis of the hippocampus showed FreeSurfer was more accurate than FIRST, particularly in the head and tail. However, FIRST more accurately represented the amygdala shape than FreeSurfer, which inflated its anterior and posterior surfaces.

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Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

April 15, 2009

Volume

45

Issue

3

Start / End Page

855 / 866

Location

United States

Related Subject Headings

  • Neurology & Neurosurgery
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Hippocampus
  • Automation
  • Amygdala
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 17 Psychology and Cognitive Sciences
 

Citation

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Morey, R. A., Petty, C. M., Xu, Y., Hayes, J. P., Wagner, H. R., Lewis, D. V., … McCarthy, G. (2009). A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage, 45(3), 855–866. https://doi.org/10.1016/j.neuroimage.2008.12.033
Morey, Rajendra A., Christopher M. Petty, Yuan Xu, Jasmeet Pannu Hayes, H Ryan Wagner, Darrell V. Lewis, Kevin S. LaBar, Martin Styner, and Gregory McCarthy. “A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes.Neuroimage 45, no. 3 (April 15, 2009): 855–66. https://doi.org/10.1016/j.neuroimage.2008.12.033.
Morey RA, Petty CM, Xu Y, Hayes JP, Wagner HR, Lewis DV, et al. A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage. 2009 Apr 15;45(3):855–66.
Morey, Rajendra A., et al. “A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes.Neuroimage, vol. 45, no. 3, Apr. 2009, pp. 855–66. Pubmed, doi:10.1016/j.neuroimage.2008.12.033.
Morey RA, Petty CM, Xu Y, Hayes JP, Wagner HR, Lewis DV, LaBar KS, Styner M, McCarthy G. A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage. 2009 Apr 15;45(3):855–866.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

April 15, 2009

Volume

45

Issue

3

Start / End Page

855 / 866

Location

United States

Related Subject Headings

  • Neurology & Neurosurgery
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Hippocampus
  • Automation
  • Amygdala
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 17 Psychology and Cognitive Sciences