News

Paper on Medical MRI-powered Millirobots Attracts Conference Attention

By: 

Elena Watts
Aaron Becker

Hydrocephalus is a nightmarish medical condition. Accumulating fluid in the skull ratchets up pressure on the brain and can cause lifelong mental disabilities. Current treatment requires physicians to cut through the skull and implant pressure-relieving shunts.

The necessary surgery is effective but invasive. For surgeries like these, science fiction authors have long dreamt of shrinking surgeons to mere millimeters to allow them to navigate interior passageways of the body instead of cutting large access holes.  Arriving at problem sites, the fictional physicians might provide targeted drug delivery or surgical intervention.

Aaron T. Becker, electrical and computer engineering professor at the UH Cullen College of Engineering, is working collaboratively to deliver a robotic version of this microsurgeon. His submission to ICRA, the flagship conference of the IEEE Robotics and Automation Society in Seattle, Wash., was nominated for best conference paper and best medical robotics paper.

With collaborators Pierre E. Dupont, visiting professor of surgery at Harvard Medical School, and Ouajdi Felfoul, Harvard Medical School postdoctoral fellow at Boston Children's Hospital, Becker plans to present, “Toward Tissue Penetration by MRI-powered Millirobots Using a Self-Assembled Gauss Gun” at the conference this month.

“Hydrocephalus, among other conditions, is a candidate for correction by our millirobots because the ventricles are fluid-filled and connect to the spinal canal,” Becker said. “Our noninvasive approach would eventually require simply a hypodermic needle or lumbar puncture to introduce the components into the spinal canal, and the components could be steered out of the body afterwards.”

Using a clinical Magnetic Resonance Imaging (MRI) scanner, the researchers map routes to problem sites on high-quality brain images to deliver medical interventions with tiny, maneuverable robotic components. Becker and his colleagues hack the scanners to enable them to use the MRI’s own magnetic fields to push the small metal-filled robots. The team has already demonstrated use of magnetic forces to actuate needle-biopsy robots and to walk robots around an MRI.

However, MRI scanners are not designed to push robots around, so they cannot apply enough force to pierce tissues or insert needles. These weak forces are a significant obstacle to using the MRI for medical interventions.

A toy called a Gauss gun inspired Becker’s solution. The toy offers surprising results from a simple row of steel balls separated intermittently by several high-powered magnets. A single steel ball rolled toward one end of the row sets off a chain reaction when it smashes into the first ball. Sequentially, each steel ball smashes into the next until the last ball flies forward at a speed much faster than the initial ball’s. Spacing between the magnets and steel balls stores potential energy, which the first ball converts to speed when it hits one end.

Similarly, the medical robot is a barrel self-assembled from smaller, separate components that navigate easily through the body. Each barrel component is 3D-printed from high-impact plastic with slender titanium rod spacers that separate two steel balls.  Magnets are unnecessary because the MRI scanners magnetize the steel balls. The first component is a specialized delivery vehicle equipped with an 18-gauge needle tip used to pierce membranes or deliver drugs.  The final component is a trigger with a long spacer so the two steel balls are only weakly attracted to each other. The approaching trigger is attracted to the barrel, which unleashes the stored potential energy and fires the other end component towards the target. Additional barrel components increase firing speeds.

“The work is still conceptual, but we have demonstrated the procedure working on plastic, fluid-filled containers, or phantoms, inside an unmodified clinical MRI scanner,” Becker said. “The benefit of our research is that we can now create clinically relevant forces inside a standard MRI scanner, using just the MRI magnetic field.”

Becker’s ongoing work focuses on exploring clinical context, miniaturizing the device and optimizing material selection.

Faculty: 

Department/Academic Programs: 

Related News Stories

Han chosen by IEEE for Kiyo Tomiyasu Award

Dr. Zhu Han, the John and Rebecca Moores Professor of Electrical and Computer Engineering, has been honored by the Institute of Electrical and Electronics Engineers for his early to mid-career contributions with the 2021 Kiyo Tomiyasu Award.

A professor at the University of Houston's Cullen College of Engineering has been honored by the Institute of Electrical and Electronics Engineers for his early to mid-career contributions with the 2021 Kiyo Tomiyasu Award.

Dr. Zhu Han, the John and Rebecca Moores Professor of Electrical and Computer Engineering, said he was notified that he had won the award at the end of June.

A Roadmap to Better Multivalent Batteries

Researchers report that while magnesium and other multivalent metals show promise for high-density energy storage, but a number of obstacles remain. Photo: Getty Images.

Lithium-ion batteries are recognized for their high energy density in everything from mobile phones to laptop computers and electric vehicles, but as the need for grid-scale energy storage and other applications becomes more pressing, researchers have sought less expensive and more readily available alternatives to lithium.

UH's Prasad edits second image analysis book

Dr. Saurabh Prasad, an associate professor of Electrical and Computer Engineering, is the co-editor of Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing.

A professor from the University of Houston's Cullen College of Engineering has edited his second book on machine learning and signal processing, identifying it as a “rapidly developing” subject area that interests him immensely.

Upcoming Events / Seminars