Characterizing electronic noise interference from the external laser positioning system on a radiation therapy MRI simulation scanner
Lucas McCullum, Yao Ding, Clifton D. Fuller, Brian A. TaylorAbstract
Background
Magnetic resonance imaging (MRI) for radiation therapy treatment planning is currently being used in many anatomical sites to better visualize soft tissue landmarks, a technique known as an MRI simulation. A core component of modern MRI simulation configurations are the use of external laser positioning systems (ELPS) to help set up the patient. Though necessary for accurate and reproducible patient setup, the ELPS, if left on during imaging, may interfere negatively with image quality due to leaking electronic noise, of which MRI is sensitive to.
Purpose
It is currently unknown whether this leakage of electronic noise may further affect quantitative values derived from clinically employed relaxometric, diffusion, and fat fraction sequences. Therefore, in this study, we aim to characterize the impact of MRI simulation lasers on general image quality and quantitative imaging accuracy.
Methods
First, a cine acquisition was used to visualize the real‐time changes in image signal‐to‐noise ratio (SNR) from when the ELPS was deactivated to activated. To validate this effect quantitatively, the SNR was measured using the American College of Radiology (ACR) recommended T1‐weighted protocol in a homogeneous phantom with the integrated body, 18‐channel UltraFlex small, 18‐channel UltraFlex large, 32‐channel spine, and 16‐channel shoulder coils. Next, a geometric distortion algorithm was tested in two vendor‐provided phantoms while using the integrated body coil and the ACR Large Phantom protocol was tested. Finally, a series of quantitative MRI scans were performed using a CaliberMRI Model 137 Mini Hybrid phantom to validate quantitative T1, T2, and ADC while a Calimetrix PDFF‐R2* phantom was used for quantitative PDFF and R2*. All scans were performed with both the ELPS both deactivated and activated.
Results
Visible electronic noise artifacts were seen when using the integrated body coil when the ELPS was activated on the cine acquisition which led to a two‐fold decrease in SNR using the ACR protocol, however geometric distortion quantification was not affected. This SNR drop was not seen when using the remaining tested coils. Degradation in image intensity uniformity, percent signal ghosting, and low contrast object detectability was seen during ACR Large Phantom testing using the 20‐channel Head/Neck coil. Concordance across quantitative MRI values was similar when the ELPS was both deactivated and activated while a consistent increase in standard deviation inside the ADC vials was seen when the ELPS was activated.
Conclusions
The extra noise induced from the activation of the ELPS during imaging should be avoided due to its potential to unnecessarily increase image noise. This is particularly true when conducting mandatory quality assurance testing for image quality and geometric distortion which utilize the integrated body coil which is most susceptible to ELPS‐induced noise. Clear clinical guidelines should be implemented to make this issue known to the MRI technologists, physicists, and other relevant staff using an MRI with a supplementary ELPS for patient alignment.