Novel dynamic phantom capable of minimizing scanner noise while keeping physiological noise fixed.
Magnetic resonance imaging (MRI) is typically used to obtain detailed pictures of organs and tissues inside the human body. An MRI machine frequently includes a large tube-shaped magnet in which a patient lies down. When an MRI system obtains imagesof the brain, structures such as the brainstem, cerebellum, and the four lobes of the cerebral cortex can be seen. These structures are largely made up of nerve cells that carry electrical brain signals. Such signals make up brain activities orfunctions. The basis for fMRIs that increases or decreases in activity in a region of the brain result in increases or decreases in blood flow in that brain region, which in turn increases or decreases the MR signal.
Dr. Mujica-Parodi, Director of the laboratory for Computational Neurodiagnostics at Stony Brook University created a dynamic phantom capable of producing controlled blood-oxygen level dependent signal fluctuations within a scanner environment toevaluate and minimize the effect of scanner noise while keeping physiological noise fixed. The dynamic phantom serves as a platform for the future development of clinically-informed computational neuroscience techniques by providing a known, tightlycontrolled input with which to compare to downstream analyses methods and scanner performance.
Fully automated and programmable Capable of complex inputs Fully fMRI compatable with no metal components Inexpensive to fabricate
Platform for future development of clinically-informed computational neuroscience techniques
Prototype developed and available for testing.
We seek to develop and commercialize, by an exclusive or non-exclusive license agreement and/or sponsored research, with a company active in the area.
Available for License
Functional MRI Computational neuroscience Instrumentation Brain imaging
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