CNS/Neurology
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Magnetic resonance imaging
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Magnetic field inhomogeneity influences magnetic resonance imaging (MRI) image quality by introducing signal dropout and distortion. Hence, magnetic field variation between regions of the brain has made brain imaging particularly difficult. To address this issue, multi-coil techniques have been developed, but current multi-coil techniques are either incompatible with standard clinical MRI machines or limited in correcting magnetic field.
Unmet Need: Synchronizing alpha rhythms with delivery of transcranial magnetic stimulation. This technology combines a bipolar electroencephalogram (EEG), magnetic resonance imaging (MRI) scanner, and a transcranial magnetic stimulation (TMS) neurostimulator in a custom built TMS coil positioner and MRI compatible setup. This technology is a closed-loop system combining functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) to deliver repetitive transcranial magnetic stimulation (rTMS) phase-locked to the individual patient’s alpha wave.
Research tool for development of machine learning-based imaging modalities for detection of. “Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging” Neurobiol Aging.
Unmet Need: Faster, head-only systems for MRI imaging of the brain. Applications:
Brain imaging of human subjects for research purposes. MRI imaging availability outside of a specialized room.
This includes the development of a refined imaging protocol for acquiring Deep Contrast Enhancement (DCE)-MRI images and construction of a deep learning model (ST-Net) to predict full-dose GBCA BBB-opening from low-dose DCE-MRI images. This includes the development of a refined imaging protocol for acquiring Deep Contrast Enhancement (DCE)-MRI images and construction of a deep learning model (ST-Net) to predict full-dose GBCA BBB-opening from low-dose DCE-MRI images.
This technology is an automated screening algorithm that analyzes patterns in verbal communication for early stage diagnosis of Alzheimer’s disease and related cognitive impairments.