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.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Novel MRI Technique Can Help Diagnose Traumatic Brain Injuries

By MedImaging International staff writers
Posted on 29 Mar 2015
Print article
Image: High-definition MRI of water diffusion for studies of Traumatic Brain Injury (Photo courtesy of Sudhir Pathak & Walter Schneider/University of Pittsburgh).
Image: High-definition MRI of water diffusion for studies of Traumatic Brain Injury (Photo courtesy of Sudhir Pathak & Walter Schneider/University of Pittsburgh).
A new, advanced Magnetic Resonance Imaging (MRI) technique that can help detect subtle Traumatic Brain Injuries (TBI) has been developed by the US National Institute of Standards and Technology (NIST; Boulder, CO, USA). Mild TBI is a common injury among war veterans and is difficult to diagnose and treat. TBI can result in symptoms such as memory loss or inability to concentrate.

The technique images the brain using High-Definition Fiber Tracking (HDFT) MRI of water diffusion. The NIST creates reference objects called MRI phantoms that enable quantitative measurements to be made according to international standards, and are used to calibrate MRI scanners. The NIST developed an MRI phantom to measure anisotropic diffusion that can show structural information related to TBI such as abnormal neural pathways, nerve cell damage, and the integrity of brain tissue.

The NIST plans to conduct a clinical study of TBI at US Department of Veterans Affairs (VA) hospitals to help reliably diagnose TBI, predict outcomes, and the required care. The research plan, states, “The study is highly relevant to the VA Hospital System commitment to provide a high level of care for veterans with suspected TBI. It will allow a means to optimize scanner performance across the VA system and provide more uniform data from various scanners. Meeting this goal will, for the first time, allow large collections of TBI data to be combined into a single pool. Analysis of the resultant large pool of data is expected to yield important results in terms of early diagnosis of TBI, stratification of patients into treatment categories, assessment of therapeutic results, and data for long-term outcomes trials.”

Related Links:

NIST Boulder


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Pre-Op Planning Solution
Sectra 3D Trauma
DR Flat Panel Detector
1500L
Ultrasound Doppler System
Doppler BT-200

Print article

Channels

Ultrasound

view channel
Image: CAM figures of testing images (Photo courtesy of SPJ; DOI:10.34133/research.0319)

Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease

Congenital heart disease (CHD) is one of the most prevalent congenital anomalies worldwide, presenting substantial health and financial challenges for affected patients. Early detection and treatment of... Read more

Nuclear Medicine

view channel
Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)

New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients

Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

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