Can measuring hippocampal atrophy with a fully automatic method be substantially less noisy than manual segmentation over both 1 and 3 years?

Psychiatry Research. Neuroimaging
Keith S CoverAlzheimer's Disease Neuroimaging Initiative

Abstract

To quantify the "segmentation noise" of several widely used fully automatic methods for measuring longitudinal hippocampal atrophy in Alzheimer's disease and compare the results to the segmentation noise of manual segmentation over both 1 and 3 years. The segmentation noise of 5 longitudinal hippocampal atrophy measurement methods was quantified, including checking its Gaussianity, using 264 subjects from the ADNI1 back-to-back (BTB) data set over both 1 year and 3 year intervals. The segmentation methods were FreeSurfer 5.3.0 both cross sectional and longitudinal, FreeSurfer 6.0.0 longitudinal, MAPS-HBSI and FSL/FIRST 5.0.8. The BTB manual segmentation of 75 ADNI subjects from a previous study provided the manual distributions for comparison. All methods, including the manual segmentation, violated the Gaussianity assumption. Two methods, FreeSurfer 6.0.0 and MAPS-HBSI, had a segmentation noise substantially less than a surrogate for manual segmentation. FreeSurfer 5.3.0 longitudinal was confirmed as a surrogate for manual segmentation. The violation of the Gaussian assumption by the segmentation methods assessed, including manual, suggests results of previous studies that assumed Gaussian statistics without confirmation may n...Continue Reading

References

Jan 20, 2010·Lancet Neurology·Clifford R JackJohn Q Trojanowski
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Mar 1, 2011·NeuroImage·Brian PatenaudeMark Jenkinson
Jul 19, 2011·Psychiatry Research·Keith S CoverUNKNOWN Alzheimer's Disease Neuroimaging Initiative
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Jul 6, 2014·Alzheimer's & Dementia : the Journal of the Alzheimer's Association·Robin WolzUNKNOWN Alzheimer's Disease Neuroimaging Initiative
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Nov 1, 2015·NeuroImage·Andrea ChincariniUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Jan 3, 2016·Magnetic Resonance Imaging·Roland OpferUNKNOWN Alzheimer's Disease Neuroimaging Initiative
May 15, 2016·Psychiatry Research. Neuroimaging·Keith S CoverUNKNOWN Alzheimer's Disease Neuroimaging Initiative, neuGRID

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