Ultra-High Resolution Brain PET Scanner Offers Potential for Early Diagnosis of Neurological Conditions
By MedImaging International staff writers Posted on 03 Jul 2023 |

While PET (Positron Emission Tomography) has been instrumental in studying neurological phenomena and diagnostics, its potential has been somewhat restricted due to the subpar spatial resolution of existing PET systems. Now, amidst the technological improvements in PET instrumentation and a global initiative to enhance brain PET imaging capabilities, scientists have designed and built a novel ultra-high resolution (UHR) brain PET scanner that offers unmatched resolution, paving the way for more precise brainstem studies.
The new UHR-dedicated brain PET system developed by researchers at the University of Sherbrooke (Québec, Canada) could potentially characterize previously unidentifiable brain regions known to contribute to Alzheimer's disease, depressive disorders, visual attention disorders, tinnitus, and other conditions. In contrast to conventional PET scanners, this UHR scanner boasts truly pixelated detectors and achieves a 1.25 mm isotropic spatial resolution. This represents a two-fold improvement over the High Resolution Research Tomograph (HRRT) scanner, the previous gold standard for brain PET imaging for the last two decades. This advancement enables visualization of the radiotracer uptake in the human brain in the range of a few tens of microliters for the first time.
To demonstrate the UHR scanner's ability to delineate small cerebral structures and accurately quantify in vivo tracer concentration, researchers compared it to a whole-body PET scanner. Three patients prescribed an 18F-FDG PET scan underwent their clinical examination on the whole-body PET scanner followed by a brain scan on the UHR scanner. Images from both scanners were compared, and region identification was performed. Standardized uptake values relative to the cerebellum were also calculated. Several brain regions, especially in the brainstem, were readily identifiable visually in UHR images but were not visualized by the whole-body PET scanner. The inferior and superior colliculi, the subthalamic nuclei, and the red nuclei were clearly delineated in the UHR images.
Furthermore, the thalamus, usually seen as a whole in standard PET images, could be visually segmented into smaller nuclei using the UHR scanner. Hypermetabolic regions of the cortex were also noticeable in the UHR images but barely perceivable with the whole-body PET scanner. The first UHR prototype is fully operational and in use for research applications at the Sherbrooke Molecular Imaging Center. In the coming months, additional UHR units will be deployed to brain research centers across North America, and progress will be made toward obtaining necessary regulatory approvals for clinical imaging. The performance of a second UHR model, featuring new detectors to improve the overall resolution across the field of view, will also be tested shortly.
“The UHR scanner is a quantum leap for PET image resolution,” said Vincent Doyon, a master’s student in Radiation Sciences and Biomedical Imaging at the University of Sherbrooke. “Proper visualization of brainstem nuclei will provide the ability to detect early changes associated with many diseases and offer a potential avenue for early diagnosis. This will impact both research and clinical settings.”
Related Links:
University of Sherbrooke
Latest General/Advanced Imaging News
- 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
- Deep Learning Model Detects Lung Tumors on CT
- AI Predicts Cardiovascular Risk from CT Scans
- Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans
- New Technology Provides Coronary Artery Calcification Scoring on Ungated Chest CT Scans
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 moreMRI
view channel
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... 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 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