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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	NeuroImage (Orlando, Fla.) Ročník 61; číslo 4; s. 1402 - 1418
Hlavní autori:	Reuter, Martin, Schmansky, Nicholas J., Rosas, H. Diana, Fischl, Bruce
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 16.07.2012 Elsevier Limited
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!