Accessible autonomous scanner magnetic resonance system

This technology is a magnetic resonance system that includes a computer-accessible medium to automate patient information gathering and remotely initiate medical imaging scans.

Unmet Need: Simple accessible magnetic resonance imaging

Magnetic resonance imaging (MRI) is a powerful tool for medical diagnosis. However, current MRI systems require technical expertise from qualified personnel to setup the patient, operate the scanner, and acquire, visualize, and interpret data. These requirements restrict the efficiency of MRI workflows and limit its use for underdeveloped nations.

The Technology: Autonomous scanner computer-accessible magnetic resonance system

This system is a remotely operated computer-accessible magnetic resonance system that allows for autonomous scanning using cloud and database determination of optimal acquisition parameters. Because the MRI system has artificially intelligent software as well as a remotely operated and controlled setup, there is no need for trained personnel at the imaging site. Thus, this allows for autonomous and time-efficient acquisition, reconstruction, and visualization that can increase MRI efficiency and bring magnetic resonance tool to underdeveloped regions of the world.

Applications:

• Diagnostic automated MRI system
• Software system for X-ray machines
• Automated tool for computed tomography scanners
• Automated tool for positron emission tomography scanners

Advantages:

• Cost-effective
• Time-efficient acquisition, reconstruction, and visualization
• Increased accessibility
• Autonomous scanner

Lead Inventor:

John Thomas Vaughan Jr., Ph.D.

Patent Information:

Patent Pending(US20210177261)

Related Publications:

• Tong G, Ananth R, Vaughan JT Jr, Geethanath S. Expanding access to magnetic resonance education through open-source web tutorials. NMR Biomed. 2024 Mar 5: e5109.

• Ravi KS, Nandakumar G, Thomas N, Lim M, Qian E, Jimeno MM, Poojar P, Jin Z, Quarterman P, Srinivasan G, Fung M, Vaughan JT Jr, Geethanath S. Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging. Front Neuroimaging. 2023 Apr 6;2: 1072759.

Tech Ventures Reference:

• IR CU18408, CU19019, CU21084

• Licensing Contact: Joan Martinez