3D-Printed Marker Optimizes Portable Radiography
|
By MedImaging International staff writers Posted on 17 Jun 2021 |

Image: The X-clometer resolves relative angulation of an x-ray (Photo courtesy of NIH)
A novel head-of-bed (HOB) angulation device significantly improves the diagnostic performance of portable chest and abdominal x-rays.
Developed at the U.S. National Institutes of Health (NIH; Bethesda, MD, USA), the X-clometer is used to resolve the location the x-ray cassette, relative to the x-ray source, and divergent x-rays. The device, which is placed in the upper right corner of the field of view (FOV), is essentially a left or right marker that also quantifies the HOB angle from supine (0 degrees) to upright (90 degrees). The approximate angle is determined by a ball bearing that rolls freely within the curved passageway of the device to indicate the angle of the patient, cassette, and x-ray tube during the chest x-ray.
The patented technology improves performance of portable chest and abdominal x-rays, and allows reliable comparisons of patient condition over time and improved care for intensive care unit (ICU) patients. For example, the need for immediate drainage resulting from pleural effusion can be more effectively assessed. The X-clometer was presented at the Society for Imaging Informatics in Medicine (SIIM) annual meeting, held online during May 2021.
“We believe that knowing the degree of inclination across serial exams will help negate the need to bring patients to the department with numerous chest drains, IV lines, and other support devices,” said device presenter Raisa Freidlin, DSc, of the NIH. “In addition, following further evaluation and actual use, X-clometer may decrease the need for obtaining CT scans, which would reduce unnecessary radiation exposure and additional expenses.”
The system was created using the 3D model assembly programs Solidworks and Fusion 360. Using 3D computer-aided detection software, the researchers recently improved reading accuracy in the 60- to 90-degree range, which also optimized size and positioning of the device. The X-clometer 3D print files are publicly available on the NIH's 3D Print Exchange website.
Related Links:
U.S. National Institutes of Health
NIH's 3D Print Exchange
Developed at the U.S. National Institutes of Health (NIH; Bethesda, MD, USA), the X-clometer is used to resolve the location the x-ray cassette, relative to the x-ray source, and divergent x-rays. The device, which is placed in the upper right corner of the field of view (FOV), is essentially a left or right marker that also quantifies the HOB angle from supine (0 degrees) to upright (90 degrees). The approximate angle is determined by a ball bearing that rolls freely within the curved passageway of the device to indicate the angle of the patient, cassette, and x-ray tube during the chest x-ray.
The patented technology improves performance of portable chest and abdominal x-rays, and allows reliable comparisons of patient condition over time and improved care for intensive care unit (ICU) patients. For example, the need for immediate drainage resulting from pleural effusion can be more effectively assessed. The X-clometer was presented at the Society for Imaging Informatics in Medicine (SIIM) annual meeting, held online during May 2021.
“We believe that knowing the degree of inclination across serial exams will help negate the need to bring patients to the department with numerous chest drains, IV lines, and other support devices,” said device presenter Raisa Freidlin, DSc, of the NIH. “In addition, following further evaluation and actual use, X-clometer may decrease the need for obtaining CT scans, which would reduce unnecessary radiation exposure and additional expenses.”
The system was created using the 3D model assembly programs Solidworks and Fusion 360. Using 3D computer-aided detection software, the researchers recently improved reading accuracy in the 60- to 90-degree range, which also optimized size and positioning of the device. The X-clometer 3D print files are publicly available on the NIH's 3D Print Exchange website.
Related Links:
U.S. National Institutes of Health
NIH's 3D Print Exchange
Latest Radiography News
- 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
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
Channels
MRI
view channel
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 more
Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
Tricuspid regurgitation, in which blood flows back from the right ventricle into the right atrium, can lead to progressive right-sided heart failure. Clinicians need reliable ways to gauge severity and... 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 channel
Portable PET System Enables Real-Time Bedside Guidance for Biopsies and Ablations
Interventional radiology procedures typically rely on ultrasound, X-ray fluoroscopy, or computed tomography for image guidance. These modalities visualize anatomy but offer limited molecular information,... Read more
AI Model Predicts Radiation Dose Before Prostate Cancer Therapy
Metastatic castration-resistant prostate cancer (mCRPC) is an advanced form of disease that progresses despite androgen-deprivation therapy and frequently spreads to bone and visceral organs.... Read moreGeneral/Advanced Imaging
view channel
PET Tracer Localizes Overactive Adrenal Glands in Primary Aldosteronism
Primary aldosteronism (Conn’s syndrome) is the leading cause of curable secondary hypertension and results from excess aldosterone produced by the adrenal cortex. Determining whether hormone overproduction... Read moreMultimodal AI Tool Combines CT and Health Records to Predict Heart Risk
Cardiovascular disease is a leading cause of death and an underrecognized risk for people treated for breast cancer. Cardiac complications can affect survival and quality of life. Clinicians need tools... Read moreImaging IT
view channel
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 more
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 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







