Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants-Reference-Cited by-同舟云学术

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Automated detection of white matter signal abnormality using T2 relaxometry: Application to brain segmentation on term MRI in very preterm infants

Published:2013-01 Issue: Volume:64 Page:328-340
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

He Lili,Parikh Nehal A.

Funder

Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston

Research Institute, Nationwide Children's Hospital

National Center for Research Resources

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference57 articles.

1. Fully automatic segmentation of white matter hyperintensities in MR images of the elderly;Admiraal-Behloul;Neuroimage,2005

2. Automatic segmentation of different-sized white matter lesions by voxel probability estimation;Anbeek;Med. Image Anal.,2004

3. Probabilistic segmentation of white matter lesions in MR imaging;Anbeek;Neuroimage,2004

4. Quantitative approaches for assessment of white matter hyperintensities in elderly populations;Brickman;Psychiatry Res.,2011

5. Abnormal white matter signal on MR imaging is related to abnormal tissue microstructure;Cheong;AJNR Am. J. Neuroradiol.,2009

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