Exclusive Research Partnership to Bring MR Fingerprinting to Clinical Application Stage
By MedImaging International staff writers Posted on 17 May 2016 |

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
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
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more