A technique for the deidentification of structural brain MR images

Bischoff‐Grethe, Amanda; Özyurt, İbrahim Burak; Busa, Evelina; Quinn, Brian T.; Fennema-Notestine, Christine; Clark, Camellia P.; Morris, Sheldon; Bondi, Mark W.; Jernigan, Terry L.; Dale, Anders M.; Brown, Gregory G.; Fischl, Bruce

doi:10.1002/hbm.20312

Cited by 145 publications

(144 citation statements)

References 21 publications

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“…This method has been fully described [31] and validated via both histological and manual measurements [32,33]. For cortical analysis, the gray/white matter interface in each hemisphere was segmented, tessellated, corrected for topological errors, and inflated to unfold the cortical surface.…”

Section: Cortical Thickness Estimationmentioning

confidence: 99%

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Cui

et al. 2016

Neurosci. Bull.

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Previous studies have indicated regional abnormalities of both gray and white matter in amblyopia. However, alterations of cortical thickness associated with changes in white matter integrity have rarely been reported. In this study, structural magnetic resonance imaging and diffusion tensor imaging (DTI) data were obtained from 15 children with anisometropic amblyopia and 15 age-and gender-matched children with normal sight. Combining DTI and surface-based morphometry, we examined a potential linkage between disrupted white matter integrity and altered cortical thickness. The fractional anisotropy (FA) values in the optic radiations (ORs) of children with anisometropic amblyopia were lower than in controls (P \ 0.05). The cortical thickness in amblyopic children was lower than controls in the following subregions: lingual cortex, lateral occipitotemporal gyrus, cuneus, occipital lobe, inferior parietal lobe, and temporal lobe (P \ 0.05, corrected), but was higher in the calcarine gyrus (P \ 0.05, corrected). Node-by-node correlation analysis of changes in cortical thickness revealed a significant association between a lower FA value in the OR and diminished cortical thickness in the following subregions: medial lingual cortex, lateral occipitotemporal gyrus, lateral, superior, and medial occipital cortex, and lunate cortex. We also found a relationship between changes of cortical thickness and white matter OR integrity in amblyopia. These findings indicate that developmental changes occur simultaneously in the OR and visual cortex in amblyopia, and provide key information on complex damage of brain networks in anisometropic amblyopia. Our results also support the hypothesis that the pathogenesis of anisometropic amblyopia is neurodevelopmental.

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Section: Cortical Thickness Estimationmentioning

confidence: 99%

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Cui

et al. 2016

Neurosci. Bull.

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“…The method implemented in the open source software FreeSurfer can be used to extract the cortical envelope from a T1-weighted MRI scan and to register the individual cortex surfaces to surface-based anatomical atlases 14,15 allowing for surface-based groupwise comparisons. Here, we employed FreeSurfer 16 to compare the regional cortical thickness in PD patients with and without FOG using high-resolution anatomical T1-weighted imaging.…”

Section: Introductionmentioning

confidence: 99%

Freezing of gait is associated with cortical thinning in mesial frontal cortex

Vaštík¹,

Hok²,

Valošek³

et al. 2017

BIOMED PAP

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Aims.The relationship between freezing of gait (FOG) and regional brain atrophy has been intensively investigated, but it is still not clearly understood. The study objective was to test whether grey matter (GM) atrophy contributes to FOG in Parkinson´s disease (PD) using a surface-based algorithm. Methods. We investigated 21 patients with PD, 11 with FOG and 10 without FOG. Both groups were assessed using a FOG questionnaire and Hoehn and Yahr staging. High resolution T1-weighted brain images were acquired for each subject using a 1.5T MRI scanner. A surface-based method implemented in FreeSurfer was used to quantify the GM atrophy. A vertex-wise and region of interest (ROI) comparison of spatially normalized subject data using a general linear model and the Wilcoxon rank sum test were to assess significant group differences. Results. Higher global levels of cortical atrophy were detected in freezers, although this was not statistically significant. The vertex-wise analysis revealed significant local reduction in grey matter thickness in the left supplementary motor area, m iddle/anterior cingulate cortex, temporal pole and right frontal operculum in freezers at P<0.001, uncorrected. The ROI analysis of average thickness confirmed the regional atrophy in bilateral anterior and posterior cingulate cortices. No significant relative regional cortical atrophy was observed in non-freezers. Conclusion. FOG was associated with regional cortical atrophy, especially in mesial frontal and cingulate cortices. Our findings provide additional evidence that the development of FOG in patients with PD is associated with local structural cortical changes.

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“…A subject's identity can sometimes be discovered from a three-dimensional surface reconstruction of the subject's head, which may lead to violations of HIPAA (Health Insurance Portability and Accountability Act) regulations and IRB (Institutional Review Board) requirements that protect subject confidentiality. To address these concerns, applications have been developed that black-out (i.e., replace with black voxels) (Bischoff-Grethe et al 2004) or warp (Shattuck et al 2003) facial features in MRI image volumes. Currently these applications require significant processing time, can only be directly applied to T1-weighted images, and run the risk (Shattuck et al 2003) of altering the imaged brain anatomy.…”

Section: Introductionmentioning

confidence: 99%

Automatic Localization of Anatomical Point Landmarks for Brain Image Processing Algorithms

Neu

Toga

2008

Neuroinform

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Many brain image processing algorithms require one or more well-chosen seed points because they need to be initialized close to an optimal solution. Anatomical point landmarks are useful for constructing initial conditions for these algorithms because they tend to be highly-visible and predictably-located points in brain image scans. We introduce an empirical training procedure that locates user-selected anatomical point landmarks within well-defined precisions using image data with different resolutions and MRI weightings. Our approach makes no assumptions on the structural or intensity characteristics of the images and produces results that have no tunable run-time parameters. We demonstrate the procedure using a Java GUI application (LONI ICE) to determine the MRI weighting of brain scans and to locate features in T1-weighted and T2-weighted scans.

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A technique for the deidentification of structural brain MR images

Abstract: Due to the increasing need for subject privacy, the ability to deidentify structural MR images so that they do not provide full facial detail is desirable. A program was developed that uses models of nonbrain structures for removing potentially identifying facial features.

Cited by 145 publications

References 21 publications

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Association of Optic Radiation Integrity with Cortical Thickness in Children with Anisometropic Amblyopia

Freezing of gait is associated with cortical thinning in mesial frontal cortex

Automatic Localization of Anatomical Point Landmarks for Brain Image Processing Algorithms

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