Advanced Scanner Produces Whole-Body PET Images in Seconds
By MedImaging International staff writers Posted on 24 Jun 2019 |

Image: Whole-body PET scans can now be done in 20 seconds (Photo courtesy of UCD).
A modified positron emission tomography (PET) scanner can create three dimensional (3D) renderings of the entire human body in as little as 20 seconds, and with less radioactive exposure.
Developed by researchers at the University of California Davis (UCD; USA), the University of Pennsylvania (Philadelphia, PA, USA), United Imaging Healthcare (UIH; Shanghai, China), and other institutions, the two-meter long device is made of eight PET scanner rings, each 25 centimeters thick, that can image the entire body at once. By combining eight scans into one, total body rendering can be accomplished in 1/40 of the time of a conventional PET scanner, as well as using 1/40 of the radiation dose.
The modified PET scanner, which is called Explorer, could be especially helpful for imaging children, who tend to move around inside a scanner and ruin the measurements, as well as in pharmacological studies that examine how a radioactive tracer spreads through the body. For example, the device could be used with a radioactive sugar tracer that is ingested by bacterial, but not mammalian cells. Other types of tracers could be used to distinguish between different bacteria. The capabilities of Explorer were shown at the US National Institutes of Health (NIH) High-Risk, High-Reward research symposium, held during June 2019 in Bethesda (MD, USA).
“The level of detail was astonishing, especially once we got the reconstruction method a bit more optimized. We could see features that you just don't see on regular PET scans,” said Explorer presenter Ramsey Badawi, MD, chief of nuclear medicine at UCD and vice-chair for research in the department of radiology. “The dynamic sequence showing the radiotracer moving around the body in three dimensions over time was, frankly, mind-blowing. There is no other device that can obtain data like this in humans, so this is truly novel.”
PET scans are widely used to diagnose and track a variety of diseases, including cancer, because they show how organs and tissues function in the body, in contrast to MRI or CT scans, which mostly show anatomy. Using radioactive tracers that produce a signal from within the body, PET scanners produce a 3D image that is constructed by computers using sophisticated mathematical techniques. The Explorer project was designed to address the shortcomings of current scanning technology, which requires more time and exposes the patient to more radiation because scans are done in small segments.
Related Links:
University of California Davis
University of Pennsylvania
United Imaging Healthcare
Developed by researchers at the University of California Davis (UCD; USA), the University of Pennsylvania (Philadelphia, PA, USA), United Imaging Healthcare (UIH; Shanghai, China), and other institutions, the two-meter long device is made of eight PET scanner rings, each 25 centimeters thick, that can image the entire body at once. By combining eight scans into one, total body rendering can be accomplished in 1/40 of the time of a conventional PET scanner, as well as using 1/40 of the radiation dose.
The modified PET scanner, which is called Explorer, could be especially helpful for imaging children, who tend to move around inside a scanner and ruin the measurements, as well as in pharmacological studies that examine how a radioactive tracer spreads through the body. For example, the device could be used with a radioactive sugar tracer that is ingested by bacterial, but not mammalian cells. Other types of tracers could be used to distinguish between different bacteria. The capabilities of Explorer were shown at the US National Institutes of Health (NIH) High-Risk, High-Reward research symposium, held during June 2019 in Bethesda (MD, USA).
“The level of detail was astonishing, especially once we got the reconstruction method a bit more optimized. We could see features that you just don't see on regular PET scans,” said Explorer presenter Ramsey Badawi, MD, chief of nuclear medicine at UCD and vice-chair for research in the department of radiology. “The dynamic sequence showing the radiotracer moving around the body in three dimensions over time was, frankly, mind-blowing. There is no other device that can obtain data like this in humans, so this is truly novel.”
PET scans are widely used to diagnose and track a variety of diseases, including cancer, because they show how organs and tissues function in the body, in contrast to MRI or CT scans, which mostly show anatomy. Using radioactive tracers that produce a signal from within the body, PET scanners produce a 3D image that is constructed by computers using sophisticated mathematical techniques. The Explorer project was designed to address the shortcomings of current scanning technology, which requires more time and exposes the patient to more radiation because scans are done in small segments.
Related Links:
University of California Davis
University of Pennsylvania
United Imaging Healthcare
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 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 more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel
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 more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
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 more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... 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