Research Areas/Projects
Computational Surgery for Enhanced Imaging
We work side by side with skilled surgeons to implement cutting-edge computer-assisted device configurations that minimize interactions between implanted devices and MRI electric and magnetic fields, resulting in exceptional levels of safety and image quality.
Tailored MRI with Customizable Hardware
We strive to make MRI accessible to all, regardless of any conducive implant that patients may have. We design and construct reconfigurable patient-adjustable MRI coils that virtually eliminate RF heating during MRI procedures. This is particularly important for patients with conductive devices, such as adults with deep brain stimulation (DBS) implants and pediatric patients with vagus nerve stimulators or cardiac implantable electronic devices.
Exploring the Benefits of Low-Field and Vertical Scanners for Implant Imaging
Open bore and low-field MRI scanners offer several key advantages over traditional MRI scanners. Open bore scanners provide greater patient comfort and flexibility, while low-field scanners are less sensitive to magnetic field distortions and can be more affordable and accessible. We work closely with vendors of these scanners to evaluate their safety for both pediatric and adult patients with conductive implants, including deep brain stimulation (DBS) systems and cardiovascular electronic devices.
Harnessing AI for Real-Time MRI Safety Assessment
Our research lab is at the forefront of the exciting new field of AI in MRI safety. We work closely with leading experts in the field of machine and hybrid intelligence to develop solutions for high-risk artificial intelligence problems. By using advanced machine learning algorithms and data analysis techniques, we’re working to identify potential risks and develop new safety protocols for patients with implanted medical devices.
Decoding the Brain: Computational Modeling in Neural Engineering
The application of neuroimaging and biophysical modeling has revolutionized the field of neural engineering, providing new insights into the functioning of the human brain and driving the development of advanced neurotechnologies. We work with mathematicians, neurologists, and electrophysiologists to develop and translate tools that help clinicians optimize programming of neuromodulation devices, with an emphasis on deep brain stimulation modeling and parameter optimization for movement disorders.
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