Reducing Patient Movement During Magnetic Resonance Imaging: A Case Study

Abstract

Magnetic resonance imaging (MRI) is a highly informative diagnostic method; however, its quality heavily depends on the patient’s immobility. Even minimal movements, such as breathing, can cause artifacts that complicate image interpretation, not to mention more significant movements, such as twitching or shivering. Given the high cost of the procedure, repeated scanning is undesirable. The aim of this study was to prepare patients for MRI procedures using specialized training software designed to minimize involuntary movements and improve diagnostic quality. The software tracked participants’ movements in an MRI simulator and reproduced characteristic scanning sounds. The Farnebäck optical flow algorithm detected even the slightest movements captured by the camera, allowing for the evaluation of movements during training sessions and improving patient readiness for actual scanning. A pilot study conducted on a group of 10 students aged 21–27 years demonstrated a significant reduction in the average number of movements during testing—from 27.7 in the first test to 8.3 in the second, corresponding to an average decrease of 19.4 movements. Additionally, two participants showed a noticeable reduction in anxiety levels after the first test, which likely contributed to the decrease in movements, emphasizing the importance of psychological preparation in enhancing training effectiveness. The study results suggest potential improvements in the quality of diagnostic images, which can increase their diagnostic value and enhance patient comfort during actual scanning, reducing the likelihood of repeated procedures.