Greater Efficiency and Diagnostic Certainty in Cardiac MRI

SIEMENSNow functional cardiac analysis is performed even faster than before with magnetic resonance imaging (MRI) – thanks to a new software module from Siemens: the new "Inline Ventricular Function" (Inline VF) enables full automatic detection of heart contours and their motion during image acquisition. Physicists can accurately evaluate cardiac functioning immediately after the scan. Previously, the image data had to be transferred to post-processing consoles, and frequently contours had to be post-processed manually. Functional data are extremely important for the evaluation of myocardial infarction or myocarditis. They are also equally necessary when determining indications for ICD implants (implantable cardioverter-defibrillator).

Inline VF is integrated as a software module directly into the acquisition sequence, enabling calculation of functional data already during image acquisition. The heart is localized on MR images automatically; the system detects the inner and outer contours and generates the functional data without additional mouse clicks. Already now MRI is the gold standard for functional cardiac diagnostics, the efficient workflow means that even more patients will be able to benefit from this radiation-free cardiological procedure.

The Inline VF software module is embedded in syngo Beat, which has proven itself as a tool for MRI examinations of the heart. Due to intelligent algorithms, cardiac examinations can be performed in less than 30 minutes – even in patients with arrhythmias. Syngo Beat can be used in many ways; for example, to verify myocardial scars (vitality diagnostics), to clarify thoracic pain (stress MRI), to establish differential diagnosis of cardiomyopathies, to evaluate congenital heart diseases, as well as to plan ablations in electrophysiology. Syngo Beat also supports the 3D display of cardiac functions, coronary vessels, and complex congenital heart defects.

For further four-dimensional visualization of cardiac functions Siemens has developed Argus 4D VF. The software allows for the analysis of cardiac malfunctions via a 4D volume display of the heart.

All cardiac and vascular applications are available for Magnetom 1.5T and 3T scanners.

About Siemens Medical Solutions
Siemens Medical Solutions of Siemens AG (NYSE: SI) is one of the world’s largest suppliers to the healthcare industry. The company is known for bringing together innovative medical technologies, healthcare information systems, management consulting, and support services, to help customers achieve tangible, sustainable, clinical and financial outcomes. Recent acquisitions in the area of in-vitro diagnostics - such as Diagnostic Products Corporation and Bayer Diagnostics – mark a significant milestone for Siemens as it becomes the first full service diagnostics company. Employing more than 41,000 people worldwide and operating in over 130 countries, Siemens Medical Solutions reported sales of 8.23 billion EUR, orders of 9.33 billion EUR and group profit of 1.06 billion EUR for fiscal 2006 (Sept. 30), according to U.S. GAAP. Further information can be found by visiting www.siemens.com/medical

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...