SwePub
Sök i LIBRIS databas

  Utökad sökning

(WFRF:(Wallin Lars))
 

Sökning: (WFRF:(Wallin Lars)) > Segmentation of age...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004259naa a2200637 4500
001oai:gup.ub.gu.se/98799
003SwePub
008240528s2008 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:117124675
0247 a https://gup.ub.gu.se/publication/987992 URI
0247 a https://doi.org/10.1016/j.neuroimage.2008.02.0242 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1171246752 URI
040 a (SwePub)gud (SwePub)ki
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Dyrby, Tim B4 aut
2451 0a Segmentation of age-related white matter changes in a clinical multi-center study.
264 1b Elsevier BV,c 2008
520 a Age-related white matter changes (WMC) are thought to be a marker of vascular pathology, and have been associated with motor and cognitive deficits. In the present study, an optimized artificial neural network was used as an automatic segmentation method to produce probabilistic maps of WMC in a clinical multi-center study. The neural network uses information from T1- and T2-weighted and fluid attenuation inversion recovery (FLAIR) magnetic resonance (MR) scans, neighboring voxels and spatial location. Generalizability of the neural network was optimized by including the Optimal Brain Damage (OBD) pruning method in the training stage. Six optimized neural networks were produced to investigate the impact of different input information on WMC segmentation. The automatic segmentation method was applied to MR scans of 362 non-demented elderly subjects from 11 centers in the European multi-center study Leukoaraiosis And Disability (LADIS). Semi-manually delineated WMC were used for validating the segmentation produced by the neural networks. The neural network segmentation demonstrated high consistency between subjects and centers, making it a promising technique for large studies. For WMC volumes less than 10 ml, an increasing discrepancy between semi-manual and neural network segmentation was observed using the similarity index (SI) measure. The use of all three image modalities significantly improved cross-center generalizability compared to neural networks using the FLAIR image only. Expert knowledge not available to the neural networks was a minor source of discrepancy, while variation in MR scan quality constituted the largest source of error.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Psykiatri0 (SwePub)302152 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Psychiatry0 (SwePub)302152 hsv//eng
653 a Aged
653 a Aged
653 a 80 and over
653 a Aging
653 a physiology
653 a Brain
653 a pathology
653 a Humans
653 a Image Interpretation
653 a Computer-Assisted
653 a methods
653 a Magnetic Resonance Imaging
653 a Neural Networks (Computer)
7001 a Rostrup, Egill4 aut
7001 a Baaré, William F C4 aut
7001 a van Straaten, Elisabeth C W4 aut
7001 a Barkhof, Frederik4 aut
7001 a Vrenken, Hugo4 aut
7001 a Ropele, Stefan4 aut
7001 a Schmidt, Reinhold4 aut
7001 a Erkinjuntti, Timo4 aut
7001 a Wahlund, Lars-Olofu Karolinska Institutet4 aut
7001 a Pantoni, Leonardo4 aut
7001 a Inzitari, Domenico4 aut
7001 a Paulson, Olaf B4 aut
7001 a Hansen, Lars Kai4 aut
7001 a Waldemar, Gunhild4 aut
7001 a Wallin, Anders,d 1950u Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry4 aut0 (Swepub:gu)xwaand
7102 a Karolinska Institutetb Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi4 org
7730 t NeuroImaged : Elsevier BVg 41:2, s. 335-45q 41:2<335-45x 1053-8119
8564 8u https://gup.ub.gu.se/publication/98799
8564 8u https://doi.org/10.1016/j.neuroimage.2008.02.024
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:117124675

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy