The largest database of trusted experimental protocols

Connectome 3t mr scanner

Manufactured by Siemens

The Connectome 3T MR scanner is a magnetic resonance imaging (MRI) system designed for research applications. It operates at a magnetic field strength of 3 Tesla, providing high-resolution imaging capabilities. The scanner is used for non-invasive visualization and analysis of the brain's structural and functional connections, known as the connectome. The core function of the Connectome 3T MR scanner is to acquire high-quality MRI data that can be used for neuroscientific research and studies.

Automatically generated - may contain errors

Lab products found in correlation

2 protocols using connectome 3t mr scanner

1

Simulating Diffusion Anisotropy Signatures

Check if the same lab product or an alternative is used in the 5 most similar protocols
To observe the directionally averaged signal decay versus diffusion weighting b, simulations in realistic IAS are performed by applying 2.27 × 107 random walkers in total diffusing over 1 × 106 steps with a duration 2 × 10−4 and a length 0.049μm. The diffusion and gradient pulse width (t, δ) = (20. 7.1). (30,13) and (50.9,35.1) ms are chosen to match the experiments performed on animal 16.4T MR scanner (Bruker BioSpin), clinical 3T MR scanner (Siemens Prisma), and Siemens Connectome 3T MR scanner (Veraart et al., 2020 (link)). Diffusion signals are calculated based on the accumulated diffusional phase for each of 18 b-values =16–100 ms/μm2 along 30 uniformly distributed directions for each b-shell. Total calculation time is ~ 2 days.
Directionally averaged signal S¯i for individual axon was calculated by averaging diffusion signals of all directions for each b-shell, and the volume-weighted sum of all axons was also calculated:
S¯=ifiS¯iifi.
The RD, D(t, δ), was estimated by fitting Eq. (27) to simulated S¯i and S¯ over the range b=55–100 ms/μm2 for individual axons and for all axons, and the effective radius of wide pulse, reff, WP, was calculated based on estimated D and Eq. (22) and compared with theoretical predictions in Eq. (23).
+ Open protocol
+ Expand
2

Simulating Diffusion Anisotropy Signatures

Check if the same lab product or an alternative is used in the 5 most similar protocols
To observe the directionally averaged signal decay versus diffusion weighting b, simulations in realistic IAS are performed by applying 2.27 × 107 random walkers in total diffusing over 1 × 106 steps with a duration 2 × 10−4 and a length 0.049μm. The diffusion and gradient pulse width (t, δ) = (20. 7.1). (30,13) and (50.9,35.1) ms are chosen to match the experiments performed on animal 16.4T MR scanner (Bruker BioSpin), clinical 3T MR scanner (Siemens Prisma), and Siemens Connectome 3T MR scanner (Veraart et al., 2020 (link)). Diffusion signals are calculated based on the accumulated diffusional phase for each of 18 b-values =16–100 ms/μm2 along 30 uniformly distributed directions for each b-shell. Total calculation time is ~ 2 days.
Directionally averaged signal S¯i for individual axon was calculated by averaging diffusion signals of all directions for each b-shell, and the volume-weighted sum of all axons was also calculated:
S¯=ifiS¯iifi.
The RD, D(t, δ), was estimated by fitting Eq. (27) to simulated S¯i and S¯ over the range b=55–100 ms/μm2 for individual axons and for all axons, and the effective radius of wide pulse, reff, WP, was calculated based on estimated D and Eq. (22) and compared with theoretical predictions in Eq. (23).
+ Open protocol
+ Expand

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

Sign up now

Revolutionizing how scientists
search and build protocols!