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ALA BrainDancer -fMRI Calibration System for Brain Imaging

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BrainDancer® is a commercial-grade dynamic phantom, designed to identify and correct systematic scanner-induced noise using our deep learning algorithm, NoiseNet™. BrainDancer® dynamic phantom not only improves the signal-to-noise ratio, but can also be used for standardization of protocols and normalization between scanners.

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Your fMRI signal is dynamic.

Why isn’t your phantom?

With BrainDancer® you get:

  • Cleaner signal
  • Stronger results
  • Better integration of fMRI data across scanners and sites

Please call or email ALA Scientific for more information.

BrainDancer® is a commercial-grade dynamic phantom, designed to identify and correct systematic scanner-induced noise using our deep learning algorithm, NoiseNet™. BrainDancer® dynamic phantom not only improves the signal-to-noise ratio, but can also be used for standardization of protocols and normalization between scanners.

  • Pneumatically controlled movement
  • Rotating inner cylinder to produce T2* changes within voxels
  • Imitates BOLD amplitudes of human brains
  • Motion is synchronized with MR scanner
  • Externally triggered programmable sequences
  • NoiseNet™ software for temporal noise estimation included

Laboratory for Computational Neurodiagnostics
LCNeuro’s research focuses on the application of control systems engineering and dynamical systems to human neuroimaging

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References:

Ground-truth resting-state signal provides data-driven estimation and correction for scanner distortion of fMRI time-series dynamics

Signal Fluctuation Sensitivity: An Improved Metric for Optimizing Detection of Resting-State fMRI Networks