Antje HellwichNext-Generation Cardiac #MRI: Simplifying the Complex with AutoMate Cardiac by Seung Su Yoon, Jens Wetzl, et al. (Siemens Healthineers).
AutoMate Cardiac is a fully automated #CMR exam that uses a combination of deep learning networks to perform three key tasks:
1. AutoPositioning - automatically prescribing slices
2. AutoRestingPhase - determining quiescent ECG phases
3. AutoTI - setting the optimal inversion time
Access to CMR: Delivering Cutting-Edge Technology to Patients in Medically Underserved Areas.
Dr. Kevin Steel, DO, FACC, FSCMR, Director of Cardiac #MRI for PeaceHealth Medical Center, Billingham, WA, USA shares strategies for establishing a successful non-academic CMR program.
Freestanding stress CMR programs are a critical need in many regions. Learn how to make them a reality here: https://marketing.webassets.siemens-healthineers.com/2616a2511edfc1da/bf866a7957e0/siemens-healthineers_Steel_Access_to_CMR.pdf
Optimizing Cardiac #MRI Workflow with Beat Sensor Technology: How We Do It
by Thomas Küstner, PhD; et al. (University Hospital Tübingen, Germany).
The authors share their experiences with the Beat Sensor and provide tips for cases where ECG electrodes are still necessary.
Their findings suggest that the Beat Sensor is a reliable non-invasive alternative to ECG, improving workflow efficiency and patient comfort.
Learn more at https://www.magnetomworld.siemens-healthineers.com/clinical-corner/case-studies/biomatrix-beat-sensor
Cardiac Magnetic Resonance T1-rho Mapping at 1.5T by Aurélien Bustin, PhD, et al. (IHU LIRYC, Heart Rhythm Disease Institute, Bordeaux, France).
The authors share the details of how images are collected at 1.5T, and explore clinical applications where myocardial T1-roh mapping has proven useful under real-life conditions.
Learn more and download the .exar1 protocols for 1.5T (software version syngo MR E11C) at https://www.magnetomworld.siemens-healthineers.com/clinical-corner/protocols/cardiovascular-protocols/cardiac-mr-mapping
UKRI AI for Healthcare CentresOur clinical PhD fellow, Dr Kavitha Vimalesvaran, had the great opportunity to share their work on a novel #WhyCMR parameter to predict aortic stenosis severity from the 3ch cine. #EACVI2023
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Clinical Experience with the BioMatrix Beat Sensor: Cardiac #MRI Exams Without ECG Leads by Naokazu Mizuno, et al. (Sakakibara Heart Institute, Tokyo, Japan).
In their article, the authors demonstrate the advantages of Beat Sensor triggering in arrhythmic patients and in difficult hearts.
Learn more at https://www.magnetomworld.siemens-healthineers.com/clinical-corner/case-studies/biomatrix-beat-sensor
3D Whole-Heart Imaging in Cardiovascular #MRI: Exploring the Range of Clinical Applications by Eva Nyktari, MD (Onassis Cardiac Surgery Center, Athens, Greece); et al.
Over the last decade, the technical development of high-resolution 3D whole-heart imaging has provided new insights into congenital heart disease and arrhythmia treatment, increasing diagnostic confidence, patient safety, and procedural success.
Cardiac Amyloidosis – A Heartfelt Diagnosis
Gwendolyn Vuurberg, MD, PhD (Dept. of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, Netherlands); et al. illustrate the potential of #MRI to provide differential diagnoses.
This article is written in the concise Compendium Medicine style. Learn more at https://marketing.webassets.siemens-healthineers.com/4b5b5e0edfc5993f/d4d39e5d4069/siemens-healthineers-magnetom-world-vuurberg-cardiac-amyloidosis.pdf
GD Kitty
Great time today hosting "The Ultimate CMR Physics Review" game with our #cardiac #imaging fellows! Final tally: $7000 for Team Magnitude vs $5400 for Team Phase. But we can't have MR without both, so you're all winners ❤️🤗#imaging #MRI #WhyCMR #Physics #radiology #cardiology