Technology | June 08, 2010

3.0T MRI With RF Goes Mobile

The Achieva 3.0T TX Mobile by Philips Healthcare is patient adaptive.

3.0T MRI with radiofrequency transmission to adapt to individual patients is on the road.

June 8, 2010 - One of their many aims of leading medical charity COBALT is to facilitate screening for cancer operating within the three counties of Gloucestershire, Worcestershire and Herefordshire. To provide care across these regions, the charity is using the first 3.0T magnetic resonance system (MRI) system in Europe with MultiTransmit.

The mobile system, Achieva 3.0T TX Mobile, brings advanced MRI diagnostic capabilities to patients who previously may not have had access otherwise. The mobile MRI is built with the same imaging technology as the stationary Philips 3.0T TX system and outfitted with the same amenities and staff as an in-house MRI suite. The Achieva 3.0T TX Mobile is transportable in a 48-foot trailer.

Some of the benefits of a mobile MRI are several different health care facilities can rent it thanks to its ability to travel, and it can solve patient overflow issues in large University and teaching hospitals.
The mobile unit also includes active magnetic shielding, permitting the light-weight high field magnet to be transported in the trailer.
 
The Achieva 3.0T TX Mobile features MultiTransmit, patient-adaptive parallel transmit radiofrequency (RF) technology, which utilizes multiple radiofrequency transmission signals to automatically adjust to each patient's individual size and shape. Previously, radiologists using 3.0T imaging faced the challenge of dielectric shading, a non-uniform radiofrequency distribution in the body that affected image quality. The Philips MultiTransmit technology is designed to deliver enhanced image contrast uniformity and consistent 3.0T imaging to mainstream radiology.
 
For more information: www.philips.com/healthcare

 

Related Content

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve
Book Chapter Reports on Fonar Upright MRI for Hydrocephalus Imaging

Rotary misalignment of atlas (C1) and axis (C2). Image courtesy of Scott Rosa, DC, BCAO.

News | Magnetic Resonance Imaging (MRI) | March 20, 2019
Fonar Corp. reported publication of a chapter where the physician-author-researchers utilized the Fonar Upright Multi-...
Non-Contrast MRI Effective in Monitoring MS Patients
News | Neuro Imaging | March 18, 2019
Brain magnetic resonance imaging (MRI) without contrast agent is just as effective as the contrast-enhanced approach...
New MRI Sensor Can Image Activity Deep Within the Brain
News | Magnetic Resonance Imaging (MRI) | March 15, 2019
Calcium is a critical signaling molecule for most cells, and it is especially important in neurons. Imaging calcium in...