Miniature Dosimeters Autonomously Monitor EMR Exposure
|
By MedImaging International staff writers Posted on 16 Jan 2020 |

Image: A prototype autonomous EMR dosimeter (Photo courtesy of NU)
A millimeter-scale, ultra-low-power wireless digital platform provides continuous electromagnetic radiation (EMR) dosimetry for time-managed, wireless consumer devices.
Developed at Northwestern University (NU; Evanston, IL, USA) and the Korea Advanced Institute of Science and Technology (KAIST; Daejeon, Republic of Korea), the miniaturized digital dosimeter provides continuous EMR monitoring in an autonomous mode at one or multiple wavelengths simultaneously, transmitting the data over long-range wireless protocols to standard consumer devices. A single button cell battery powers the unit over a multiyear life span, enabled by the combined use of a light-powered, accumulation mode of detection and a light-adaptive, ultralow-power circuit design.
The dosimeter includes an accumulation detection module (ADM) for dosimetry and a Bluetooth low energy (BLE) system on a chip for wireless communication. A key feature is that the built-in ADM can directly measure continuous dose exposure without power consumption. As a result, it remains in an ultra-low sleep mode in the absence of light while continuously monitoring dosage via the ADM. When the dose exceeded a threshold, the device briefly wakes up to wirelessly transmit exposure data using BLE protocols to a smartphone, and resets the ADM and quickly return to sleep mode.
The ADM also includes a photodiode, supercapacitor, and a metal oxide semiconductor field-effect transistor (MOSFET). The miniaturized forms of the device have already been tested on sunglass clips, earrings, and wristbands for personalized EMR exposure detection. Field studies have shown that the dosimeter is extremely efficient in monitoring short-wavelength blue light from indoor lighting and display systems, as well as ultraviolet (UV), visible, and infrared (IR) radiation from the sun. The study was published on December 13, 2109, in Science Advances.
“The key feature of the ADM is that it directly measures exposure dose in a continuous fashion, without any power consumption. By contrast, conventional digital approaches approximate dose through computational time integration across a series of brief measurements of intensity, each performed using active, battery-powered electronics,” concluded lead author Kyeongha Kwon, PhD, of NU and KAIST, and colleagues. “Lack of interface ports and mechanical switches and the absence of need for battery replacement allow hermetic sealing of device for waterproof, sweat-resistant, and wear-resistant capabilities.”
Overexposure or underexposure to EMR can accumulate with latent consequences; where excessive exposure to UV and blue light from the sun or emissions of tanning beds and cellphones, can have associated health risks. For instance, repetitive keratinocyte damage from chronic exposure to UV is fundamental to cause skin cancer. The shorter wavelengths of the visible spectrum can generate reactive oxygen species (ROS) in the skin to cause DNA damage, hyperpigmentation and inflammation, alongside collagen and elastin degradation. Blue light can cause photochemical damage in retinal tissue to accelerate age-related maculopathy and modulate retinal control of the human circadian rhythm to suppress melatonin secretion.
Related Links:
Northwestern University
Korea Advanced Institute of Science and Technology
Developed at Northwestern University (NU; Evanston, IL, USA) and the Korea Advanced Institute of Science and Technology (KAIST; Daejeon, Republic of Korea), the miniaturized digital dosimeter provides continuous EMR monitoring in an autonomous mode at one or multiple wavelengths simultaneously, transmitting the data over long-range wireless protocols to standard consumer devices. A single button cell battery powers the unit over a multiyear life span, enabled by the combined use of a light-powered, accumulation mode of detection and a light-adaptive, ultralow-power circuit design.
The dosimeter includes an accumulation detection module (ADM) for dosimetry and a Bluetooth low energy (BLE) system on a chip for wireless communication. A key feature is that the built-in ADM can directly measure continuous dose exposure without power consumption. As a result, it remains in an ultra-low sleep mode in the absence of light while continuously monitoring dosage via the ADM. When the dose exceeded a threshold, the device briefly wakes up to wirelessly transmit exposure data using BLE protocols to a smartphone, and resets the ADM and quickly return to sleep mode.
The ADM also includes a photodiode, supercapacitor, and a metal oxide semiconductor field-effect transistor (MOSFET). The miniaturized forms of the device have already been tested on sunglass clips, earrings, and wristbands for personalized EMR exposure detection. Field studies have shown that the dosimeter is extremely efficient in monitoring short-wavelength blue light from indoor lighting and display systems, as well as ultraviolet (UV), visible, and infrared (IR) radiation from the sun. The study was published on December 13, 2109, in Science Advances.
“The key feature of the ADM is that it directly measures exposure dose in a continuous fashion, without any power consumption. By contrast, conventional digital approaches approximate dose through computational time integration across a series of brief measurements of intensity, each performed using active, battery-powered electronics,” concluded lead author Kyeongha Kwon, PhD, of NU and KAIST, and colleagues. “Lack of interface ports and mechanical switches and the absence of need for battery replacement allow hermetic sealing of device for waterproof, sweat-resistant, and wear-resistant capabilities.”
Overexposure or underexposure to EMR can accumulate with latent consequences; where excessive exposure to UV and blue light from the sun or emissions of tanning beds and cellphones, can have associated health risks. For instance, repetitive keratinocyte damage from chronic exposure to UV is fundamental to cause skin cancer. The shorter wavelengths of the visible spectrum can generate reactive oxygen species (ROS) in the skin to cause DNA damage, hyperpigmentation and inflammation, alongside collagen and elastin degradation. Blue light can cause photochemical damage in retinal tissue to accelerate age-related maculopathy and modulate retinal control of the human circadian rhythm to suppress melatonin secretion.
Related Links:
Northwestern University
Korea Advanced Institute of Science and Technology
Latest Radiography News
- AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
- Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair
- AI Tool Flags Osteoporosis Risk from Routine Chest X-Rays
- Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
- AI Detection Tool Improves Identification of Lobular Breast Cancer
- New Contrast Agent Enables Low-Dose X-Ray Joint Imaging
- AI Boosts Breast Cancer Detection and Cuts Screening Workload
- AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
Channels
MRI
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 moreGeneral/Advanced Imaging
view channel
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read more
AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection
Diffuse optical tomography is a noninvasive imaging technique that uses near-infrared light to detect internal abnormalities such as cerebral hemorrhage and tumors. Its clinical utility for real-time ... Read moreNew SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease
Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... 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







