2022-179 – Model-based Reconstruction for Looping-Star Pulse Sequences in MRI

  • MRI scans are an important diagnostic tool but may be accompanied by loud acoustic noises
  • Scanning manufacturers have produced quieter machines with degraded image quality
  • These researchers created software that optimizes images while maintaining low levels of noise

Abstract

Magnetic resonance imaging (MRI) scanning is a non-invasive diagnostic technology that produces three dimensional anatomical images through the excitement and subsequent detection of protons found in water located in human tissues. One of the drawbacks to the patient experience is a loud acoustic noise that can reach 130 decibels during the MRI study. That noise can cause patient apprehension, it can diminish communication between the patient and the radiation technologist, and it may negatively influence data collection, especially in a specialized subset of studies known as functional MRIs. Companies which produce MRI scanners have recently created machines that are less noisy, though the software requirements which accompany this approach may cause degraded images or prolonged scanning times.

Researchers at the University of Michigan have developed software that maintains high resolution scanning while preserving low acoustic noise associated with quiet scanners produced by several machine companies. The inventors created a program that takes advantage of the use of multiple matrices during image reconstruction, successfully removing background noise and increasing signal amplitude and uniformity to yield high-quality anatomic scans. The United States saw 30 million MRI scans ordered in 2021, and the goal will be for this technology to be utilized with existing quiet scanners to optimize studies of any part of the body. The potential users of this technology will be companies that produce MRI scanners such as Phillips, GE Healthcare, and Siemens.

Advantages

  • Novel software that better reconstructs images acquired on quiet MRI scanners
  • Creation of MRI images with decreased background noise and timely calculations
  • Ability to use software with existing quiet MRI scanners produced by existing manufacturers

Contact Information

Name: Michelle Larkin

Email: MICHCOTE@umich.edu

Phone: 810-569-2583