Literature DB >> 31078614

MRI acoustic noise-modulated computer animations for patient distraction and entertainment with application in pediatric psychiatric patients.

Refaat E Gabr1, Giovana B Zunta-Soares2, Jair C Soares2, Ponnada A Narayana3.   

Abstract

PURPOSE: To reduce patient anxiety caused by the MRI scanner acoustic noise.
MATERIAL AND METHODS: We developed a simple and low-cost system for patient distraction using visual computer animations that were synchronized to the MRI scanner's acoustic noise during the MRI exam. The system was implemented on a 3T MRI system and tested in 28 pediatric patients with bipolar disorder. The patients were randomized to receive noise-synchronized animations in the form of abstract animations in addition to music (n = 13, F/M = 6/7, age = 10.9 ± 2.5 years) or, as a control, receive only music (n = 15, F/M = 7/8, age = 11.6 ± 2.3 years). After completion of the scans, all subjects answered a questionnaire about their scan experience and the perceived scan duration.
RESULTS: The scan duration with multisensory input (animations and music) was perceived to be ~15% shorter than in the control group (43 min vs. 50 min, P < 0.05). However, the overall scan experience was scored less favorably (3.9 vs. 4.6 in the control group, P < 0.04).
CONCLUSIONS: This simple system provided patient distraction and entertainment leading to perceived shorter scan times, but the provided visualization with abstract animations was not favored by this patient cohort.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Audiovisual; Magnetic resonance imaging; Multisensory integration; Perception

Mesh:

Year:  2019        PMID: 31078614     DOI: 10.1016/j.mri.2019.05.014

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  1 in total

1.  The Efficacy of Virtual Reality Game Preparation for Children Scheduled for Magnetic Resonance Imaging Procedures (IMAGINE): Protocol for a Randomized Controlled Trial.

Authors:  Sylvie Le May; Christine Genest; Nicole Hung; Maxime Francoeur; Estelle Guingo; Julie Paquette; Olivier Fortin; Stéphane Guay
Journal:  JMIR Res Protoc       Date:  2022-06-13
  1 in total

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