title: Utility of real-time prospective motion correction (PROMO) for segmentation of cerebral cortex on 3D T1-weighted imaging: Voxel-based morphometry analysis for uncooperative patients.
abstract: OBJECTIVE
  To assess the utility of the motion correction method with prospective motion correction (PROMO) in a voxel-based morphometry (VBM) analysis for 'uncooperative' patient populations.
  
  
  METHODS
  High-resolution 3D T1-weighted imaging both with and without PROMO were performed in 33 uncooperative patients with Parkinson's disease (n = 11) or dementia (n = 22). We compared the grey matter (GM) volumes and cortical thickness between the scans with and without PROMO.
  
  
  RESULTS
  For the mean total GM volume with the VBM analysis, the scan without PROMO showed a significantly smaller volume than that with PROMO (p < 0.05), which was caused by segmentation problems due to motion during acquisition. The whole-brain VBM analysis showed significant GM volume reductions in some regions in the scans without PROMO (familywise error corrected p < 0.05). In the cortical thickness analysis, the scans without PROMO also showed decreased cortical thickness compared to the scan with PROMO (p < 0.05).
  
  
  CONCLUSIONS
  Our results with the uncooperative patients indicate that the use of PROMO can reduce misclassification during segmentation of the VBM analyses, although it may not prevent GM volume reduction.
  
  
  CONCLUSIONS
  • Motion artifacts pose significant problems for VBM analyses. • PROMO correction can reduce the motion artifacts in high-resolution 3D T1WI. • The use of PROMO may improve the precision of VBM analyses.
authors.affiliation: Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
authors.forename: Natsuki
authors.initials: N
authors.lastname: Igata
authors.affiliation: Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
authors.forename: Shingo
authors.initials: S
authors.lastname: Kakeda
authors.affiliation: Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan. sapient@med.uoeh-u.ac.jp.
authors.forename: Keita
authors.initials: K
authors.lastname: Watanabe
authors.affiliation: MR Applications and Workflow Asia Pacific GE Healthcare Japan, Tokyo, Japan.
authors.forename: Atsushi
authors.initials: A
authors.lastname: Nozaki
authors.affiliation: MR Applications and Workflow GE Healthcare, Rochester, MN, USA.
authors.forename: Dan
authors.initials: D
authors.lastname: Rettmann
authors.affiliation: Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
authors.forename: Hidekuni
authors.initials: H
authors.lastname: Narimatsu
authors.affiliation: Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
authors.forename: Satoru
authors.initials: S
authors.lastname: Ide
authors.affiliation: Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
authors.forename: Osamu
authors.initials: O
authors.lastname: Abe
authors.affiliation: Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
authors.forename: Yukunori
authors.initials: Y
authors.lastname: Korogi
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D016477:Artifacts; D002540:Cerebral Cortex / Q000000981:diagnostic imaging*; D003704:Dementia / Q000000981:diagnostic imaging*; D005260:Female; D066128:Gray Matter / Q000000981:diagnostic imaging; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D009038:Motion; D010300:Parkinson Disease / Q000000981:diagnostic imaging*; D010349:Patient Compliance; D011446:Prospective Studies
keywords: Extended Kalman Filter (EKF) motion estimates; Motion artifacts; Parkinson’s disease; Prospective motion correction; Voxel-based morphometry