AnalyzeDirect Wang Y, Nie J, Yap PT, Li G, Shi F, Geng X, Guo L, Shen D. Knowledge-guided robust MRI brain extraction for diverse large-scale neuroimaging studies on humans and non-human primates. PLoS One. January 2014;9(1):e77810.
Full Text – Open Access
Publication Date
January 2014
How Analyze was Used
“T1-weighted MR brain images were acquired using a 3.0 T scanner (Allegra; Siemens Medical Solutions, Inc, Malvern, Pennsylvania), with the following parameters: repetition time/ echo time/inversion time, 2500/3.49/1000 ms; 1 slab of 224 sections, 0.6 mm section thickness, 0.3 mm spacing, 8u flip angle, 2566256 pixel acquisition matrix, with the resolution 0.3960.3960.6 mm3. The images were resampled to the resolution of 0.3960.3960.39 mm3, and all images were oriented in a standardized oblique plane to eliminate any bias in section angle. In the standardized orientation, the trans-axial plane was parallel to the anteroposterior commissures line and perpendicular to the inter-hemispheric fissure. A threshold-based region-growing algorithm was used to outline the brain in each axial section, following with manual editing for accurately excluding the skull and dura. The above processing was performed with Analyze 7.5.”
Keywords
Age Groups
Human Performance
Imaging Techniques
Magnetic Resonance Imaging (MRI)
Neuroimaging
Pediatrics
Primates
Skull
Author Affiliation(s)
School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China. (YW, LG)
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina, US. (YW, JN, P-TY, GL, FS, DS)
Neuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, Maryland, US. (XG)
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea. (DS)
ID# 106
Tags: Age Groups, Human Performance, Imaging Techniques, Magnetic Resonance Imaging (MRI), Neuroimaging, pediatrics, Primates, Skull