Motion Compatible Neuroimaging Device Enables Walking PET Brain Scans
By MedImaging International staff writers Posted on 08 Aug 2024 |

Traditional Positron Emission Tomography (PET) scanners require patients to remain still during imaging. This is challenging for diagnosing conditions like Parkinson’s disease, where patients often experience involuntary movements. Such symptoms can make it more difficult to conduct scans when the condition advances, as conventional brain imaging demands complete immobility. Now, an upright neuroimaging device that allows patients to move around while undergoing a brain scan could help address these issues with traditional PET scanners.
The prototype of the new device called an Ambulatory Motion-enabling PET, or AMPET, is an upgrade of an earlier scanner built by a team of neuroscientists, physicists and engineers at West Virginia University (WVU, Morgantown, WV, USA). AMPET is lighter and designed to be worn like a hard hat, providing balanced support on top, allowing it to move with the patient's head. This mobility allows patients to walk around while wearing the device. The team conducted real-world tests to evaluate the accuracy of AMPET and to identify areas for improvement. For these tests, outpatient volunteers who were already scheduled for standard scans and receiving imaging medications were enrolled. These volunteers wore the AMPET helmet and walked in place while the team monitored for motion tolerance and analyzed neural activity in the brain regions associated with movement.
The study successfully recorded brain activity in areas that coordinate leg movement as the patients walked, confirming the device’s capability. This outcome was further supported by scans from a patient with a prosthetic leg, showing significant brain activity in the region associated with his natural leg. The findings, reported in Nature Communications Medicine, highlight the potential of AMPET in clinical and research settings. Plans to enhance the device include adding motion tracking technology and expanding the helmet size to cover larger brain areas. AMPET could also benefit neuroscience research into natural human behaviors like gestures, conversation, and balance, and it has potential applications in treating PTSD, studying mindfulness meditation, and integrating with virtual reality technologies.
“What we demonstrated in the study is that when the patients walk, it’s not moving relative to the head and that’s what allowed us to get a relatively clean image,” said Julie Brefczynski-Lewis, research assistant professor in the Department of Neuroscience at the WVU School of Medicine. “To be able to image the brain in motion, we’re showing that there’s a whole new field that could open up because of our device.”
Related Links:
WVU
Latest General/Advanced Imaging News
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
Channels
Radiography
view channel
AI Detects Fatty Liver Disease from Chest X-Rays
Fatty liver disease, which results from excess fat accumulation in the liver, is believed to impact approximately one in four individuals globally. If not addressed in time, it can progress to severe conditions... Read more
AI Detects Hidden Heart Disease in Existing CT Chest Scans
Coronary artery calcium (CAC) is a major indicator of cardiovascular risk, but its assessment typically requires a specialized “gated” CT scan that synchronizes with the heartbeat. In contrast, most chest... Read moreMRI
view channel
New MRI Technique Reveals Hidden Heart Issues
Traditional exercise stress tests conducted within an MRI machine require patients to lie flat, a position that artificially improves heart function by increasing stroke volume due to gravity-driven blood... Read more
Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
Women with extremely dense breasts face a higher risk of missed breast cancer diagnoses, as dense glandular and fibrous tissue can obscure tumors on mammograms. While breast MRI is recommended for supplemental... Read moreUltrasound
view channel
Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more
New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
Ultrasound computed tomography (USCT) presents a safer alternative to imaging techniques like X-ray computed tomography (commonly known as CT or “CAT” scans) because it does not produce ionizing radiation.... Read moreNuclear Medicine
view channel
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... 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