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 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
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
Channels
MRI
view channel
Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
Patients who present with myocardial infarction but show no obstructive coronary disease often leave without a definitive diagnosis. That uncertainty complicates in-hospital decision-making and post-discharge... Read more
Advanced MRI System Detects Impaired Cardiac Oxygen Use in Minutes
Early identification of cardiac dysfunction remains challenging because current methods to evaluate myocardial oxygen use are invasive or impractical for routine care. Delays in detecting impaired oxygen... Read moreUltrasound
view channel
New Ultrasound AI Tool Supports Rapid Prenatal Assessment
Accurate gestational age estimation guides prenatal screening, detection of complications, and timely intervention. Access to ultrasound and trained sonographers is uneven, with nearly half of U.... Read more
New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
Metabolic dysfunction-associated steatotic liver disease (MASLD) is rising along with obesity and diabetes, making accurate, scalable measurement of hepatic fat a clinical priority. Biopsy is invasive... Read moreNuclear Medicine
view channel
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Predicts Side Effects from Lung Cancer Treatment
Radiation therapy is a central treatment for lung cancer, but even carefully targeted radiation can affect surrounding healthy tissue. Patients may develop side effects such as lung inflammation, coughing,... Read more
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... 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
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







