Medical Image Analysis Made Easier with TREND

MU professor and team develop imaging software that’s efficient and effective.

Current medical and scientific practices typically turn to detailed, complicated images to study medical problems. Imaging techniques such as magnetic resonance imaging (MRI) and nuclear magnetic resonance spectroscopy (NMR) are commonplace but often requires doctors and researchers to spend exorbitant amounts of time performing analysis of these images. But, thanks to new research out of the University of Missouri, software can interpret images faster and more accurately than ever before.

The new software, Tracking Equilibrium and Nonequilibrium shifts in Data (TREND), can quickly analyze any series of images, including MRI images, computerized tomography (CT) scans, ultrasound images, video images, and imaging from scientific equipment of all kinds. The TREND software will study sets of images to resolve and track the changes among the images. For example, a movie of a beating heart can be analyzed by TREND almost instantly to determine if any irregularities or potential health problems exist. Other applications include all kinds of biological, chemical or geographical changes. TREND can quickly analyze the videos to note changes as well as reconstruct videos to focus only on the individual processes and changes of interest, such as just the heart beat without changes effected by breathing.

“TREND allows accurate, rapid analysis of incredibly complex and nuanced images, which can potentially save doctors, patients and scientists countless hours and money,” said Steve Van Doren, a professor in the MU Department of Biochemistry and co-developer of the software. “TREND has allowed us to advance our own research into enzyme interactions considerably. Previously, it would take us weeks to analyze a single group of images. With TREND, that analysis now takes only a few minutes and is more accurate and consistent than if a human performed the work.”

TREND was developed by Van Doren and Jia Xu, a research scientist in the MU Department of Biochemistry, which is housed in the College of Agriculture, Food and Natural Resources and the School of Medicine. The full study outlining TREND, “Tracking Equilibrium and Nonequilibrium Shifts with TREND,” was published in Biophysical Journal on Jan. 24. Dr. Van Doren believes TREND can greatly improve the cost and time it takes to perform scientific research of all kinds, as well as improve medical diagnoses of patients.

“TREND will work on anything that involves series of images,” Van Doren said. “Brain scans, heart scans, satellite or geospatial imagine, and even footage from security cameras. The implications are incredibly broad; we are continually finding new applications.”

TREND is currently free for academic use. Commercial licensing and a demo version are available. The Department of Biochemistry is hosted jointly by the MU School of Medicine and College of Agriculture, Food and Natural Resources.

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