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Assessing the Impact of Defacing Algorithms on Brain Volumetry Accuracy in MRI Analyses.

Dong-Woo RyuChonghwee LeeHyuk-Je LeeYong Soo ShimYun Jeong HongJung Hee ChoSeonggyu KimJong-Min LeeDong Won Yang
Published in: Dementia and neurocognitive disorders (2024)
The three defacing algorithms evaluated did not significantly affect the results of image analysis for the entire brain or specific cerebral regions. These findings suggest that these algorithms can serve as robust methods for defacing in neuroimaging analysis, thereby supporting data anonymization without compromising the integrity of brain volume measurements.
Keyphrases
  • machine learning
  • resting state
  • white matter
  • deep learning
  • cerebral ischemia
  • functional connectivity
  • magnetic resonance imaging
  • subarachnoid hemorrhage
  • big data
  • blood brain barrier