All study subjects travelled to an imaging center in mid Finland for lumbar spine magnetic resonance imaging (MRI) between 1991 and 1997, where images were obtained using one of two 1.5 Tesla imagers, a Siemens Magnetom SP4000 scanner or Magnetom Vision scanner (Siemens AG Erlangen, Germany) using previously described protocols (3 (link)). The angle of the slice for the axial images was set at mid disc for each of the lumbar disc levels imaged.
Magnetom vision scanner
Manufactured by Siemens
Sourced in Germany, Netherlands
The Magnetom Vision scanner is a magnetic resonance imaging (MRI) system manufactured by Siemens. It is designed to capture high-quality images of the human body, primarily used for medical diagnostic purposes. The Magnetom Vision scanner utilizes powerful magnetic fields and radio waves to generate detailed images of the internal structures and organs, enabling healthcare professionals to assess and diagnose various medical conditions.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using magnetom vision scanner
1
Lumbar Spine MRI Imaging Protocols
2
Functional MRI of Brain Activity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Images were acquired on a 1.5 T Siemens Magnetom Vision Scanner; BOLD signal images were obtained using T2*-weighted echo planar (EPI) sequence (TR = 4.087 s, 28 slices, voxel size 4 × 4 × 4 mm3, 860 volumes).
A high-resolution T1-weighted whole-brain image was acquired with a 3D-MPRAGE sequence (sagittal matrix = 256 × 256, FOV = 256 mm, voxel size 1 × 1 × 1 mm3, flip angle = 12°, TR/TE = 9.7/4.0 ms).
Preprocessing of raw images was performed using Brain Voyager QX 1.7 software (Brain Innovation, Netherlands). The first five scans were discarded to reach T1 saturation. Preprocessed functional volumes were co-registered with the corresponding structural image. Temporal filtering included linear and non-linear (high-pass filter of two cycles per time course) trend removal. No spatial or temporal smoothing was applied, to avoid the increase of similarity of between-subject connectivity [38 (link)].
A high-resolution T1-weighted whole-brain image was acquired with a 3D-MPRAGE sequence (sagittal matrix = 256 × 256, FOV = 256 mm, voxel size 1 × 1 × 1 mm3, flip angle = 12°, TR/TE = 9.7/4.0 ms).
Preprocessing of raw images was performed using Brain Voyager QX 1.7 software (Brain Innovation, Netherlands). The first five scans were discarded to reach T1 saturation. Preprocessed functional volumes were co-registered with the corresponding structural image. Temporal filtering included linear and non-linear (high-pass filter of two cycles per time course) trend removal. No spatial or temporal smoothing was applied, to avoid the increase of similarity of between-subject connectivity [38 (link)].
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!