New Detector Could Enable Cheaper, More Accurate Imaging at the Speed of Light
|
By MedImaging International staff writers Posted on 02 Nov 2021 |

Researchers have demonstrated the first experimental cross-sectional medical image that does not require tomography, a mathematical process used to reconstruct images in CT and PET scans, potentially leading to cheaper, easier and more accurate medical imaging.
The advance was made possible by the development of new, ultrafast photon detectors in an experimental work led by researchers at the University of California, Davis (Davis, CA, USA) and Hamamatsu Photonics (Shizuoka, Japan) where the new photon detector technology was developed.
The process of tomography is required to mathematically reconstruct cross-sectional images from the data in imaging that uses X-rays or gamma rays. In PET scans, molecules tagged with trace amounts of a radioactive isotope are injected and taken up by organs and tissues in the body. The isotope, such as fluorine-18, is unstable and emits positrons as it decays. Whenever one of these positrons encounters an electron in the body, they annihilate each other and simultaneously give off two annihilation photons. Tracking the origin and trajectory of these photons theoretically creates an image of the tissues tagged with isotopes. But until now, researchers were unable to do that without the extra step of tomographic reconstruction, because detectors were too slow to precisely determine the arrival times of two photons and thus pinpoint their location based on their time difference.
When the annihilation photons strike the detector, they generate Cherenkov photons that produce the signal. The researchers figured out how to detect these Cherenkov photons with an average timing precision of 32 picoseconds. This meant they could determine where the annihilation photons arose with a spatial precision of 4.8 millimeters. This level of speed and accuracy enabled the research team to produce cross-sectional images of a radioactive isotope directly from the annihilation photons without having to use tomography.
The researchers conducted various tests with their new technique, including on a test object that mimics the human brain. They feel confident that this procedure is ultimately scalable to the level needed for clinical diagnostics and has the potential to create higher quality images using a lower radiation dose. Images can also be created more quickly with this method, potentially even in real time during the PET scan, as no after-the-fact reconstruction is needed. PET scans are currently expensive and are technically limited in some ways, as the full information present in the travel time of the annihilation photons is not captured by current clinical scanners. This new discovery involves a compact equipment setup and could lead to inexpensive, easy and accurate scans of the human body using radioactive isotopes.
“We’re literally imaging at the speed of light, which is something of a holy grail in our field,” said Simon Cherry, professor of biomedical engineering and of radiology at the University of California, Davis.
Related Links:
University of California, Davis
Hamamatsu Photonics
Latest General/Advanced Imaging News
- Virtual Staining Technique Creates Histology Images from CT Data
- CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
- AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
- AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection
- New SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease
- Whole-Body PET/CT Tracks Metabolic Changes After Bariatric Surgery
- PET Tracer Localizes Overactive Adrenal Glands in Primary Aldosteronism
- Multimodal AI Tool Combines CT and Health Records to Predict Heart Risk
- AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
- New Proton Therapy Platform Integrates into Existing Radiotherapy Departments
- 3D-Printed Intraoral Device Enhances Head and Neck Radiotherapy Accuracy
- Molecular Imaging Agent Shows Promise for Endometriosis Detection and Monitoring
- Automated AI Tool Detects Early Pancreatic Cancer on Routine CT
- Routine Cardiac CT Enhanced to Predict Heart Failure Risk
- New Breast Imaging Viewer Unifies Modalities and Enhances Clinical Workflow
- Radiomics Analysis of CT Scans Enhances Evaluation of Sarcoidosis
Channels
Radiography
view channel
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read more
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read moreMRI
view channel
International Study Assesses AI for Prostate Cancer MRI Interpretation
Prostate cancer is a leading cause of cancer morbidity in men, and accurate early diagnosis hinges on expert interpretation of prostate magnetic resonance imaging (MRI). Rapid adoption of MRI-first pathways... Read more
AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
Long acquisition times for advanced brain magnetic resonance imaging (MRI) can limit access, extend waiting lists, and disrupt clinical workflows. Reducing data requirements without sacrificing image fidelity... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channelNew PET Tracer Detects DVT and Pulmonary Embolism in One Scan
Deep vein thrombosis is the formation of clots in deep leg veins that can migrate to the lungs as pulmonary embolism. Rapid confirmation across both regions often requires multiple tests and can delay treatment.... Read more
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







