We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Breakthrough Technology Generates 3D Color X-rays

By HospiMedica International staff writers
Posted on 23 Jul 2018
Using hybrid pixel-detector technology, a novel three-dimensional (3D) scanner can assign colors to different X-ray photons energy levels, thus identifying water, calcium, and disease markers.

Researchers at the University of Canterbury (Christchurch, New Zealand), the University of Otago (Christchurch, New Zealand), and other institutions worldwide participating in the CERN Medipix collaboration have successfully scanned human tissues using a breakthrough color medical scanner developed by MARS Bioimaging (Christchurch, New Zealand), which is based on Medipix3 technology.

Initially developed to address the needs of particle tracking at the CERN Large Hadron Collider, the MARS solution couples the spectroscopic information generated by the Medipix3-enabled detector with powerful algorithms to generate 3D images. More...
By assigning different energy levels of the X-ray photons to distinct colors, the scanner can display high-resolution, high-contrast, and reliable images. A version of the MARS scanner has so far been used to study cancer, bone and joint health, and vascular disease. In the coming months, orthopedic and rheumatology patients in New Zealand will be scanned in a clinical trial of the technology.

“X-ray spectral information allows health professionals to measure the different components of body parts such as fat, water, calcium, and disease markers. Traditional black-and-white x-rays only allow measurement of the density and shape of an object,” said Professor Anthony Butler, PhD, of the University of Otago. “As a new imaging device, a new microscope if you like, biomedical researchers can non-invasively see different kinds of detail inside patients. In all of these studies, promising early results suggest that when spectral imaging is routinely used in clinics, it will enable more accurate diagnosis and personalization of treatment.”

The Medipix3 is a complementary metal-oxide-semiconductor (CMOS) pixel detector readout chip designed to be connected to a segmented semiconductor sensor. It acts as a camera, taking images based on the number of particles, which hit the pixels when the electronic shutter is open. A novel charge summing and allocation scheme is implemented at the pixel level, permitting proper binning of the energy of incoming photons in order to overcome the effects of fluorescence and charge diffusion.

Related Links:
University of Canterbury
University of Otago
MARS Bioimaging


Gold Member
Handheld Blood Glucose Analyzer
STAT-Site
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Gas Analyzer
GE SAM
Desk Aneroid Sphyg
Diagnostix 750D+
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Surgical Techniques

view channel
Image Credit: 123RF

Needle-Free Intrauterine Anesthesia Technique Reduces Pain During IUD Insertion

Pain during intrauterine device (IUD) placement often deters women from choosing this long-acting contraception. Avoiding or undertreating procedural pain can reduce uptake and satisfaction with effective... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.