MRI was performed using a Philips 3T scanner (Intra Achieva, Philips Healthcare, Amsterdam, Netherlands). Brain MRI scans included high-resolution, 3-dimensional T1-weighted (axial plane, matrix = 224 × 256, field of view = 220 mm, voxel size = 0.875 × 0.875 × 1.0 mm3, echo time = 4.6 ms, repetition time = 9.9 ms, flip angle = 8, 160 slices), T2-weighted (axial plane, matrix = 448 × 358, field of view = 230 mm, voxel size = 0.449 × 0.449 × 3.0 mm3, echo time = 80 ms, repetition time = 4553 ms, 48 slices), and fluid attenuation inversion recovery scans (axial plane, matrix = 352 × 249, field of view = 230 mm, voxel size = 0.449 × 0.449 × 7.0 mm3, echo time = 125 ms, repetition time = 11.000 ms, 20 slices).
Intra achieva
Manufactured by Philips
The Intra Achieva is a magnetic resonance imaging (MRI) system developed by Philips. It is designed to acquire high-quality images of the human body for medical diagnostic purposes. The core function of the Intra Achieva is to generate detailed images of internal structures and organs using powerful magnetic fields and radio waves.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using intra achieva
1
Comprehensive Brain MRI Protocol for Research
2
Functional MRI Brain Imaging Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
MRI data were acquired on a 3T MR scanner (Intra Achieva; Philips Medical System, Best, Netherlands). Twenty-eight contiguous 4.5-mm-thick axial slices covering the entire brain were collected using a single-shot, T2*-weighted echo planar imaging sequence depicting the blood-oxygenation-level-dependent (BOLD) signal (echo time = 50 ms; repetition time = 2,000 ms; flip angle = 90°; field of view = 220 mm; and image matrix = 64×64). Axial 1.5-mm-thick T1-weighted images (echo time = 4.6 ms; repetition time = 25 ms; flip angle = 30°; field of view = 240 mm; and image matrix 256×256) were also collected.
Spatial preprocessing and statistical analyses were performed using Statistical Parametric Mapping 8 (SPM8). Corrections for differences in slice acquisition time were performed using user-specified sequences. Head motion was corrected by realignment, and corrected images were co-registered to the T1-weighted image for each participant. T1-weighted images were normalized to the standard T1 template, and the resulting transformation matrices were applied to the co-registered functional images. Normalized images were smoothed with an 8-mm full-width-at-half-maximum Gaussian filter.
Spatial preprocessing and statistical analyses were performed using Statistical Parametric Mapping 8 (SPM8). Corrections for differences in slice acquisition time were performed using user-specified sequences. Head motion was corrected by realignment, and corrected images were co-registered to the T1-weighted image for each participant. T1-weighted images were normalized to the standard T1 template, and the resulting transformation matrices were applied to the co-registered functional images. Normalized images were smoothed with an 8-mm full-width-at-half-maximum Gaussian filter.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!