Within-subject template estimation for unbiased longitudinal image analysis

Longitudinal image analysis has become increasingly important in clinical studies of normal aging and neurodegenerative disorders. Furthermore, there is a growing appreciation of the potential utility of longitudinally acquired structural images and reliable image processing to evaluate disease modi...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 61; H. 4; S. 1402 - 1418
Hauptverfasser:	Reuter, Martin, Schmansky, Nicholas J., Rosas, H. Diana, Fischl, Bruce
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 16.07.2012 Elsevier Limited
Schlagworte:	Algorithms Bias Brain - anatomy & histology Brain - physiology FreeSurfer Humans Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Methods MRI biomarkers Neurodegeneration Noise Reliability and power Software Standard deviation Studies Unbiased longitudinal image processing Within-subject template Reliability and power Unbiased longitudinal image processing Within-subject template FreeSurfer MRI biomarkers
ISSN:	1053-8119, 1095-9572, 1095-9572
Online-Zugang:	Volltext
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