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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Siemens Healthineers

Provides customized electronic systems and advanced imaging, diagnostics, therapy, and healthcare IT solutions for th... read more Featured Products: More products

Download Mobile App




Exclusive Research Partnership to Bring MR Fingerprinting to Clinical Application Stage

By MedImaging International staff writers
Posted on 17 May 2016
Print article
Image: MR Fingerprinting (MRF) can be used to identify individual tissues and diseases quantitatively (Photo courtesy of Siemens Healthcare).
Image: MR Fingerprinting (MRF) can be used to identify individual tissues and diseases quantitatively (Photo courtesy of Siemens Healthcare).
A new partnership between a major medical imaging provider and a leading university in the US aims to bring a new Magnetic Resonance (MR) quantitative tissue analysis technique that can identify individual disease tissues, to clinical application.

The goal of the researchers is to provide software that can reliably distinguish between healthy and diseased tissue and help identify disease tissues earlier and faster than existing techniques. The MR Fingerprinting (MRF) software package has already been evaluated successfully by several research facilities.

The partnership between Siemens Healthcare (Erlangen, Germany) and Case Western Reserve University (CWRU; Cleveland, OH, USA) was announced in Singapore at the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

MRF provides a non-invasive quantification of tissue properties and can be used to measure multiple parameters simultaneously. The technique provides a unique fingerprint for each type of tissue, disease, or material in the body. MRF can provide a low level of variance across many exam types, different MR scanners, and institutions, and could help clinicians monitor and evaluate patient treatments with greater accuracy.

MRF has previously been used for cardiac examinations and for multiple sclerosis patients. The CWRU research team has successfully used the technique for patients with brain tumors, prostate tumors, and breast cancer patients with liver metastases.

Prof. Siegfried Trattnig from the Medical University of Vienna, who has done initial research with brain tumor and glioma patients, said, "The MR Fingerprint technique lets us see more details than the standard imaging process, and has the potential to redefine MRI. In this way, MRF could help us, as radiologists, to make the paradigm shift from qualitative to quantitative imaging and to incorporate quantitative data into our daily routine."

Related Links:
Siemens Healthcare
Case Western Reserve University
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ceiling-Mounted Digital Radiography System
Radiography 5000 C
New
Mobile Digital C-arm X-Ray System
HHMC-200D
Ultrasound Doppler System
Doppler BT-200

Print article

Channels

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... 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
Copyright © 2000-2024 Globetech Media. All rights reserved.