Skip header and navigation

3 records – page 1 of 1.

The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain.

https://arctichealth.org/en/permalink/ahliterature292006
Source
Med Image Anal. 2017 Jul; 39:133-144
Publication Type
Journal Article
Date
Jul-2017
Author
Lars Forsberg
Sigurdur Sigurdsson
Jesper Fredriksson
Asdis Egilsdottir
Bryndis Oskarsdottir
Olafur Kjartansson
Mark A van Buchem
Lenore J Launer
Vilmundur Gudnason
Alex Zijdenbos
Author Affiliation
The Icelandic Heart Association, Kopavogur, Iceland; Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden. Electronic address: larsef@me.com.
Source
Med Image Anal. 2017 Jul; 39:133-144
Date
Jul-2017
Language
English
Publication Type
Journal Article
Keywords
Aged
Aging
Algorithms
Anatomy, Artistic
Atlases as Topic
Brain - diagnostic imaging
Female
Humans
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging - methods
Male
Abstract
Quantitative analyses of brain structures from Magnetic Resonance (MR) image data are often performed using automatic segmentation algorithms. Many of these algorithms rely on templates and atlases in a common coordinate space. Most freely available brain atlases are generated from relatively young individuals and not always derived from well-defined cohort studies. In this paper, we introduce a publicly available multi-spectral template with corresponding tissue probability atlases and regional atlases, optimised to use in studies of ageing cohorts (mean age 75 ± 5 years). Furthermore, we provide validation data from a regional segmentation pipeline to assure the integrity of the dataset.
Notes
Cites: Neuroimage. 2010 Feb 1;49(3):2352-65 PMID 19857578
Cites: Neuroimage. 2004;23 Suppl 1:S208-19 PMID 15501092
Cites: Stroke. 2008 Apr;39(4):1134-41 PMID 18323507
Cites: J Cereb Blood Flow Metab. 1990 Jul;10 (4):443-57 PMID 2347878
Cites: Neuron. 2002 Jan 31;33(3):341-55 PMID 11832223
Cites: Neuroimage. 2008 Feb 1;39(3):1064-80 PMID 18037310
Cites: Neuroimage. 1997 Oct;6(3):209-17 PMID 9344825
Cites: NMR Biomed. 2015 Apr;28(4):468-85 PMID 25802212
Cites: Neuroimage. 2006 Oct 15;33(1):115-26 PMID 16860573
Cites: Neuroimage. 2011 Jan 1;54(1):313-27 PMID 20656036
Cites: Neuroimage. 2009 Jul 1;46(3):726-38 PMID 19245840
Cites: Neuroimage. 2001 Jul;14(1 Pt 1):21-36 PMID 11525331
Cites: J Comput Assist Tomogr. 1994 Mar-Apr;18(2):192-205 PMID 8126267
Cites: IEEE Trans Med Imaging. 2007 Apr;26(4):479-86 PMID 17427735
Cites: Image Vis Comput. 2001 Jan 1;19(1-2):3-24 PMID 19890483
Cites: Neuroimage. 2005 Jul 15;26(4):1009-18 PMID 15908234
Cites: Comput Methods Programs Biomed. 2011 Dec;104(3):e158-77 PMID 21871688
Cites: IEEE Trans Med Imaging. 2002 Oct;21(10):1280-91 PMID 12585710
Cites: Ann N Y Acad Sci. 2002 Nov;977:141-8 PMID 12480744
Cites: Neuroimage. 1995 Jun;2(2):89-101 PMID 9343592
Cites: Neuroimage. 2007 Apr 1;35(2):686-97 PMID 17320415
Cites: Neuroimage. 2002 Jan;15(1):273-89 PMID 11771995
Cites: Hum Brain Mapp. 2002 Nov;17(3):143-55 PMID 12391568
Cites: IEEE Trans Med Imaging. 2009 Aug;28(8):1266-77 PMID 19228554
Cites: Inf Process Med Imaging. 2001;2082:488-501 PMID 21218175
Cites: Philos Trans R Soc Lond B Biol Sci. 2001 Aug 29;356(1412):1293-322 PMID 11545704
Cites: Clin Chem. 1974 Dec;20(12):1535-42 PMID 4430131
Cites: Biometrics. 1996 Dec;52(4):1195-203 PMID 8962450
Cites: Neuroimage. 2012 Feb 15;59(4):3862-3870 PMID 22119006
Cites: Hum Brain Mapp. 1994;1(3):173-84 PMID 24578038
Cites: Clin Neuroradiol. 2016 Dec;26(4):423-430 PMID 25791203
PubMed ID
28501699 View in PubMed
Less detail

The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain.

https://arctichealth.org/en/permalink/ahliterature282555
Source
Med Image Anal. 2017 May 06;39:133-144
Publication Type
Article
Date
May-06-2017
Author
Lars Forsberg
Sigurdur Sigurdsson
Jesper Fredriksson
Asdis Egilsdottir
Bryndis Oskarsdottir
Olafur Kjartansson
Mark A van Buchem
Lenore J Launer
Vilmundur Gudnason
Alex Zijdenbos
Source
Med Image Anal. 2017 May 06;39:133-144
Date
May-06-2017
Language
English
Publication Type
Article
Abstract
Quantitative analyses of brain structures from Magnetic Resonance (MR) image data are often performed using automatic segmentation algorithms. Many of these algorithms rely on templates and atlases in a common coordinate space. Most freely available brain atlases are generated from relatively young individuals and not always derived from well-defined cohort studies. In this paper, we introduce a publicly available multi-spectral template with corresponding tissue probability atlases and regional atlases, optimised to use in studies of ageing cohorts (mean age 75 ± 5 years). Furthermore, we provide validation data from a regional segmentation pipeline to assure the integrity of the dataset.
PubMed ID
28501699 View in PubMed
Less detail

Brain tissue volumes in the general population of the elderly: the AGES-Reykjavik study.

https://arctichealth.org/en/permalink/ahliterature129325
Source
Neuroimage. 2012 Feb 15;59(4):3862-70
Publication Type
Article
Date
Feb-15-2012
Author
Sigurdur Sigurdsson
Thor Aspelund
Lars Forsberg
Jesper Fredriksson
Olafur Kjartansson
Bryndis Oskarsdottir
Palmi V Jonsson
Gudny Eiriksdottir
Tamara B Harris
Alex Zijdenbos
Mark A van Buchem
Lenore J Launer
Vilmundur Gudnason
Author Affiliation
The Icelandic Heart Association, Kopavogur, Iceland. sigurdur@hjarta.is
Source
Neuroimage. 2012 Feb 15;59(4):3862-70
Date
Feb-15-2012
Language
English
Publication Type
Article
Keywords
Age Factors
Aged
Aged, 80 and over
Atrophy
Brain - pathology
Female
Humans
Magnetic Resonance Imaging
Male
Organ Size
Abstract
Imaging studies have reported conflicting findings on how brain structure differs with age and sex. This may be explained by discrepancies and limitations in study population and study design. We report a study on brain tissue volumes in one of the largest cohorts of individuals studied to date of subjects with high mean age (mean ± standard deviation (SD) 76 ± 6 years). These analyses are based on magnetic resonance imaging (MRI) scans acquired at baseline on 4303 non-demented elderly, and 367 who had a second MRI, on average 2.5 ± 0.2 years later. Tissue segmentation was performed with an automatic image analysis pipeline. Total brain parenchymal (TBP) volume decreased with increasing age while there was an increase in white matter hyperintensities (WMH) in both sexes. A reduction in both normal white matter (NWM)- and gray matter (GM) volume contributed to the brain shrinkage. After adjusting for intra-cranial volume, women had larger brain volumes compared to men (3.32%, p
PubMed ID
22119006 View in PubMed
Less detail