New Eye Tracking Controlled VR System Enhances MRI Scans for Young Children
By MedImaging International staff writers Posted on 20 Jun 2024 |

Magnetic Resonance Imaging (MRI) scans are notoriously noisy and can be particularly stressful for children, often causing discomfort and movements that may lead to the failure of the scan. A new development in eye tracking technology now allows young children to engage in a Virtual Reality (VR) experience during MRI scans, which helps reduce their anxiety and limits movement.
This cutting-edge eye tracking technology, developed by researchers at King’s College London (KCL, London, UK), allows for gaze-based human-computer interaction (HCI)—the process of determining where a person is looking—that operates immediately and robustly without the need for explicit setup tasks. Integrating this technology into an MR-compatible VR system enables young children to instantly dive into an immersive and interactive VR experience during MRI scans. Traditionally, gaze estimation in HCI requires calibration or a complex setup at the beginning of each session, which complicates instant control and affects usability, particularly for young children who need straightforward and rapid interaction with technology.
The innovative eye-tracking technology developed at KCL allows for immediate user control, making it the core interaction interface of their pioneering MR-compatible VR system. This system is designed to immerse children in a virtual world during their MRI scans, engaging them quickly with VR to alleviate anxiety and minimize movements. To enhance engagement, game and video content tailored to individual children's preferences has been developed. Interaction within the VR system is intuitive; children simply fix their gaze on items on the screen to trigger actions like playing games, watching videos, or interacting with favorite cartoon characters.
Since continuous user control is essential for maintaining immersion in the VR experience, the eye-tracking system continually updates itself based on the child's interactions, improving the accuracy of gaze estimation the more the child engages. While the VR system aims to minimize head movements during scans as much as possible, not all movements can be eliminated. To address this, the team employed the DISORDER method, previously developed at KCL for baby MRI scans, which performs retrospective motion correction on the images obtained. By combining these innovations, the researchers have developed a new system capable of acquiring high-quality brain MR images from awake young children.
“Our new technology shows promise to solve virtually all of the limitations of existing systems,” said Dr. Kun Qian, Post-Doctoral Researcher in the Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences and study lead author. “Our approach opens new possibilities for awake MR studies in young children for both clinical and research purposes, potentially reducing the need for non-trivial interventions like anesthesia and enabling a new generation of MR-based studies of awake brain processing in this formative period of life.”
“Today it is normal to be using phones, tablets and computers for entertainment and many other important tasks,” added Professor Jo Hajnal, Professor of imaging Science in the Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences and program leader for this study. “Everyone expects these devices to respond immediately and be intuitive to use, so forcing users to endure calibration processes and delays in starting is ever more challenging for them. The instant gaze technology we have created makes gaze-based user interfaces feel completely comfortable and natural to use. Feedback has been incredibly positive, both from children and adults, suggesting that this technology could make a real difference to MR examinations, with widespread benefits.”
Related Links:
King’s College London
Latest MRI News
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more