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Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database

Ledig, C. (author)
Schuh, A. (author)
Guerrero, R. (author)
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Heckemann, Rolf A. (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiofysik,Institute of Clinical Sciences, Department of Radiation Physics
Rueckert, D. (author)
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 (creator_code:org_t)
2018-07-26
2018
English.
In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 8
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Magnetic resonance (MR) imaging is a powerful technique for non-invasive in-vivo imaging of the human brain. We employed a recently validated method for robust cross-sectional and longitudinal segmentation of MR brain images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Specifically, we segmented 5074 MR brain images into 138 anatomical regions and extracted time-point specific structural volumes and volume change during follow-up intervals of 12 or 24 months. We assessed the extracted biomarkers by determining their power to predict diagnostic classification and by comparing atrophy rates to published meta-studies. The approach enables comprehensive analysis of structural changes within the whole brain. The discriminative power of individual biomarkers (volumes/atrophy rates) is on par with results published by other groups. We publish all quality-checked brain masks, structural segmentations, and extracted biomarkers along with this article. We further share the methodology for brain extraction (pincram) and segmentation (MALPEM, MALPEM4D) as open source projects with the community. The identified biomarkers hold great potential for deeper analysis, and the validated methodology can readily be applied to other imaging cohorts.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

magnetic-resonance images
hippocampal atrophy
mr-images
segmentation
application
classification
dementia
prediction
adni
time
diagnosis
Science & Technology

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ref (subject category)
art (subject category)

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Ledig, C.
Schuh, A.
Guerrero, R.
Heckemann, Rolf ...
Rueckert, D.
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
and Radiology Nuclea ...
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Scientific Repor ...
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University of Gothenburg

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