External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI
Sai Abitha Srinivas (1, 2), Stephen F Cauley (3, 4), Jason P, Stockmann (3, 4), Charlotte R Sappo (1, 2), Christopher E Vaughn (1 and, 2), Lawrence L Wald (3,4, 5), William A Grissom (1,2,6, 7), Clarissa, Z Cooley (3, 4) ((1) Vanderbilt University Institute of imaging science,

TL;DR
The paper introduces EDITER, a novel external sensor-based method for dynamically estimating and removing external electromagnetic interference in low-field portable MRI, significantly improving image quality without extensive shielding.
Contribution
The paper presents a new EMI estimation and removal technique using external sensors, enabling portable MRI outside shielded environments.
Findings
Up to 97% reduction of structured EMI in controlled settings
Up to 89% EMI reduction with electrodes in uncontrolled environments
Effective EMI mitigation with minimal passive shielding
Abstract
Purpose: Point-of-care MRI requires operation outside of a faraday shielded room normally used to block image-degrading electromagnetic Interference (EMI). To address this, we introduce the EDITER method, an external sensor based dynamic EMI estimation and removal method to retrospectively remove time-varying external interference sources. Theory and Methods: The method acquires data from multiple EMI detectors (tuned receive coils and electrodes placed on the body) simultaneous with the primary MR coil during image data acquisition. We dynamically calculate impulse response functions that map the data from the detectors to the artifacts in the kspace data, then remove the transformed detected EMI from the MR data. Performance of the EDITER algorithm was assessed in phantom and in vivo imaging experiments in an 80mT portable brain MRI in a controlled EMI environment and with an open…
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Taxonomy
TopicsAdvanced MRI Techniques and Applications · Atomic and Subatomic Physics Research · Radiation Dose and Imaging
