2017 A Phantom to Validate MRI Diffusion Tensor Imaging for Diagnosing and Monitoring of Patients Multiple Sclerosis

2017 capstone student teamTeam: Kirsten Fetah, Bhavna Gopal, Sean Kelly, Keith Kim

Client: Elizabeth A. Pierce, MRI Research Technologist, UCSF Multiple Sclerosis Center, San Francisco

Problem: Magnetic Resonance Imaging (MRI) is an essential diagnostic tool in detecting neurodegenerative diseases such as multiple sclerosis (MS). Unfortunately, the MRI vendor-supplied phantoms are basic and do not mimic biological processes and structure.  Patients can be misdiagnosed resulting in delayed treatment.

Outcome: Students developed a device that mimics biological processes and is used to validate MRI instrument function to improve the accuracy of detecting MS.

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