Effects of Image Distortion Correction on Voxel-based Morphometry

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  • GOTO Masami
    Department of Radiological Technology, University of Tokyo Hospital Graduate School of Medical Science, Kanazawa University
  • ABE Osamu
    Department of Radiology, Nihon University School of Medicine
  • KABASAWA Hiroyuki
    Japan Applied Science Laboratory, GE Healthcare
  • TAKAO Hidemasa
    Department of Radiology, University of Tokyo Hospital
  • MIYATI Tosiaki
    Graduate School of Medical Science, Kanazawa University
  • HAYASHI Naoto
    Department of Computational Diagnostic Radiology and Preventive Medicine, University of Tokyo Hospital
  • KUROSU Tomomi
    Department of Radiological Technology, University of Tokyo Hospital
  • IWATSUBO Takeshi
    Department of Neuropathology, University of Tokyo
  • YAMASHITA Fumio
    Department of Radiology, National Center Hospital of Neurology and Psychiatry
  • MATSUDA Hiroshi
    Department of Nuclear Medicine, Saitama Medical University International Medical Center
  • INANO Sachiko
    Department of Radiology, University of Tokyo Hospital
  • MORI Harushi
    Department of Radiology, University of Tokyo Hospital
  • KUNIMATSU Akira
    Department of Radiology, University of Tokyo Hospital
  • AOKI Shigeki
    Department of Radiology, Juntendo University
  • INO Kenji
    Department of Radiological Technology, University of Tokyo Hospital
  • YANO Keiichi
    Department of Radiological Technology, University of Tokyo Hospital
  • OHTOMO Kuni
    Department of Radiology, University of Tokyo Hospital

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Abstract

Purpose: We aimed to show that correcting image distortion significantly affects brain volumetry using voxel-based morphometry (VBM) and to assess whether the processing of distortion correction reduces system dependency.<br> Materials and Methods: We obtained contiguous sagittal T1-weighted images of the brain from 22 healthy participants using 1.5- and 3-tesla magnetic resonance (MR) scanners, preprocessed images using Statistical Parametric Mapping 5, and tested the relation between distortion correction and brain volume using VBM.<br> Results: Local brain volume significantly increased or decreased on corrected images compared with uncorrected images. In addition, the method used to correct image distortion for gradient nonlinearity produced fewer volumetric errors from MR system variation.<br> Conclusion: This is the first VBM study to show more precise volumetry using VBM with corrected images. These results indicate that multi-scanner or multi-site imaging trials require correction for distortion induced by gradient nonlinearity.<br>

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